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Paper Citation Record · LEDGER

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation

As of 8 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2507.07154.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.07154 v2

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:58:03.441838Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

60 of 60 outbound references displayed

  • verified exact1
  • verified fuzzy39
  • unresolved19
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a7e3fd83-29be-493a-baf7-24749f27a980 · outbound

This paper cites Siegel, Kimberly D.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation Siegel, Kimberly D

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:58:02.946453Z digest=sha256:c923dddecf3fa1bb204592115ae8b030ebb56cea3ceff6ae7420a7813dd649ee

Observation 1075f2c1-aa99-43bf-b5bf-f1dd7a986817 · outbound

This paper cites Clustering sparse swarm decomposition for automated recognition of upper limb movements from non-homogeneous cross-channel eeg signals.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation Clustering sparse swarm decomposition for automated recognition of upper limb movements from non-homogeneous cross-channel eeg signals

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-06T18:58:05.148670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation c001851b-f73c-468e-8547-fcad834a44a6 · outbound

This paper cites Smedsrud, Michael A.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation Smedsrud, Michael A

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-06T18:58:05.122506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 213e3a14-bf03-4fc5-87e3-634a14c94114 · outbound

This paper cites Tganet: Text-guided attention for improved polyp segmentation.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation Tganet: Text-guided attention for improved polyp segmentation

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-06T18:58:05.089865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:58:02.972379Z digest=sha256:fc3b4432c8e7e8ce9f6251a871e0f8a851fe83910f15e929e31e55e1bd47fcf7

Observation d07847b4-0d24-43a6-b7b1-e9a993c6e951 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation U-net: Convolutional networks for biomedical image segmentation

Reference 5

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raw_fallback, observed 2026-08-06T18:58:05.063319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation d7e324fd-e567-42d0-bb5c-20052176c861 · outbound

This paper cites Unet++: Redesigning skip connections to exploit multiscale features in image segmentation.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation Unet++: Redesigning skip connections to exploit multiscale features in image segmentation

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-06T18:58:05.038429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:58:02.989317Z digest=sha256:4bc821a8ed1bc16831635f388e72b552f2d870bab4478d7c7684ece642cd38eb

Observation 42bc074a-7b90-43a5-b4df-d27ca8cb5bd7 · outbound

This paper cites Smedsrud, Michael A.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation Smedsrud, Michael A

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:58:04.999631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:58:03.001682Z digest=sha256:f32fef3049ebfa0e213b985dc2b3d9608287429764313231e088057ae624a2f4

Observation f6c9fb55-001a-46a4-8fd8-1943bb55d875 · outbound

This paper cites Constrained nonnegative matrix factorization and hyperspectral image dimensionality reduction.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation Constrained nonnegative matrix factorization and hyperspectral image dimensionality reduction

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:58:04.968961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:58:03.008387Z digest=sha256:03bfee1143d081ce32563be9e7219fc9e9598d6d0faf3225b2b5088aa7168ac9

Observation 4b9a8466-fe99-4167-8afc-b9e31ec7ab4e · outbound

This paper cites A spectral–spatial similarity-based method and its application to hyperspectral image classification.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation A spectral–spatial similarity-based method and its application to hyperspectral image classification

Reference 9

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no resolver link, observed 2026-08-06T18:58:03.015160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:58:03.015160Z digest=sha256:4f06e04ba01285a05f824cc9b589255292181052f11702d421381b27d06b268f

Observation e31cc840-05cd-4bd6-bfa4-6d6f95d6fa24 · outbound

This paper cites Highly scalable parallel genetic algorithm on sunway many-core processors.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation Highly scalable parallel genetic algorithm on sunway many-core processors

Reference 10

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unresolved
no resolver link, observed 2026-08-06T18:58:03.020689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:58:03.020689Z digest=sha256:bb446e99ba418b1979f4e5b51051b9ed105a8313ea8d28bd078d21f3277a196f

Observation 5b0a48b6-19b2-4159-aa70-6a940c52e8e5 · outbound

This paper cites Shankaranarayana, Keerthi Ram, Jayaraj Joseph, and Mohanasankar Sivaprakasam.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation Shankaranarayana, Keerthi Ram, Jayaraj Joseph, and Mohanasankar Sivaprakasam

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:58:04.903079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:58:03.027282Z digest=sha256:40714782e62342462a51c18f1ca1aaf766c4272f9e63b945bc680961bda86692

Observation 1999e077-780f-4dbb-a544-c54fe91b14cc · outbound

This paper cites Pranet: Parallel reverse attention network for polyp segmentation.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation Pranet: Parallel reverse attention network for polyp segmentation

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:58:04.873281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:58:03.038235Z digest=sha256:f18f0cc7e1a6bca285fc915c5567ffb6450696af6557448db60eb77d8a48a033

Observation e144219c-bc28-4bcc-a657-c1c9486f2218 · outbound

This paper cites Kevin Zhou, and Shuguang Cui.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation Kevin Zhou, and Shuguang Cui

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:58:04.833985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:58:03.044363Z digest=sha256:35f75cf2e203cb05690e8094a4dec90ae5f071739b98e375c332e8d6aa67580b

Observation e104f47a-dc81-40cd-8921-9fd38e9a950d · outbound

This paper cites Lesion-aware dynamic kernel for polyp segmentation.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation Lesion-aware dynamic kernel for polyp segmentation

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:58:04.805507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:58:03.050563Z digest=sha256:6cb4ae27b32629ca56d0940d0f3175fe0140a8de18bf8efb5125ced4ab95c5fe

Observation d10360e1-e3c2-4029-b862-ac2eaaec24a2 · outbound

This paper cites Encoder-decoder with atrous separable convolution for semantic image segmentation.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation Encoder-decoder with atrous separable convolution for semantic image segmentation

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:58:04.779441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:58:03.056322Z digest=sha256:c6ce9d9d0c141c27b63b734c83dbba9d7d70dc731407a5614f28b9553068dbcd

Observation 2b20240a-e5f2-41aa-9e1d-1e2ae915f0e8 · outbound

This paper cites Transfuse: Fusing transformers and cnns for medical image segmentation.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation Transfuse: Fusing transformers and cnns for medical image segmentation

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:58:04.752888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:58:03.062928Z digest=sha256:481608609b88f23172b4657b09e7f4373d03b72a193da59f0c7b6978ea516a98

Observation ebbd1ccd-9049-4871-96aa-9f7f954c1679 · outbound

This paper cites Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers

Reference 17

Resolution
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no resolver link, observed 2026-08-06T18:58:03.071684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:58:03.071684Z digest=sha256:a7f294a66fbf1b3cec4131d72fdb04f45c5d6ddef0f143cd8af601b3442a1380

Observation 128577c4-a8a5-48d8-8ce6-9c0b63ee4cb2 · outbound

This paper cites Deep residual learning for image recognition.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation Deep residual learning for image recognition

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:58:04.728965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:58:03.078658Z digest=sha256:d37fa0f464088d064b4d64fb1e9b6fef1ef536a719dbeaacb1a05044cba04752

Observation 4d282389-cbea-4c9e-a7d2-e35fe720c4d6 · outbound

This paper cites Pyramid vision transformer: A versatile backbone for dense prediction without convolutions.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation Pyramid vision transformer: A versatile backbone for dense prediction without convolutions

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:58:04.697074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:58:03.086443Z digest=sha256:ec7f8bb55298e40391933b9613d966e20396bd9f08105b5b4d736e4585fffa38

Observation c8783893-ac29-4e7e-8aba-159c5340caf0 · outbound

This paper cites High accuracy food image classification via vision transformer with data augmentation and feature augmentation.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation High accuracy food image classification via vision transformer with data augmentation and feature augmentation

Reference 20

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no resolver link, observed 2026-08-06T18:58:03.098441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:58:03.098441Z digest=sha256:a36aa71f8b12aa598e9f26e713220474119b1c246d2859f9ff87dff6dd2b4a1f

Observation 23a8c176-d04d-4223-967b-60e2845ded28 · outbound

This paper cites Fine grained food image recognition based on swin transformer.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation Fine grained food image recognition based on swin transformer

Reference 21

Resolution
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no resolver link, observed 2026-08-06T18:58:03.107869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:58:03.107869Z digest=sha256:6d99ac88e4f438a9d23e4784664f2131171d5e68879d44ff4f1ca25bc7717195

Observation b91ee4f0-f9d2-4193-bde4-4ad7f1fa7382 · outbound

This paper cites Foodcswin: A high-accuracy food image recognition model for dietary assessment.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation Foodcswin: A high-accuracy food image recognition model for dietary assessment

Reference 22

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no resolver link, observed 2026-08-06T18:58:03.116833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:58:03.116833Z digest=sha256:e43163d71510effb33faadfa4a823cffb2436b6411a718e696bf8e68937db62c

Observation 6bcaef39-7730-443c-b2ae-4aa493bd88ce · outbound

This paper cites Fgfoodnet: Ingredient-perceived fine-grained food recognition for dietary monitoring.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation Fgfoodnet: Ingredient-perceived fine-grained food recognition for dietary monitoring

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:58:04.614902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:58:03.122368Z digest=sha256:319064eb2ee11ec653a814a3b91cc3a2c7cd1500c084dc8dba54278f18c35686

Observation 965ea8eb-3c51-4d82-bd5d-b0a26f726fcb · outbound

This paper cites Fine-grained crop pest classification based on multi-scale feature fusion and mixed attention mechanisms.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation Fine-grained crop pest classification based on multi-scale feature fusion and mixed attention mechanisms

Reference 24

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no resolver link, observed 2026-08-06T18:58:03.129108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:58:03.129108Z digest=sha256:6c17386d06d8aec647be629a670dc058f11d6aaf7470933b5c8b675687c6399d

Observation f31bcd48-82ec-40aa-89c7-d80cb413ece0 · outbound

This paper cites Swin attention augmented residual network: a fine-grained pest image recognition method.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation Swin attention augmented residual network: a fine-grained pest image recognition method

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T18:58:03.137998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:58:03.137998Z digest=sha256:86572fb145bd5637dd418b6e9449b94dbe88c7a25341bcc592bacce10a31f58e

Observation e1b3cf68-95e1-42ee-a0ce-acfafecf7636 · outbound

This paper cites Essdm: An enhanced sparse swarm decomposition method and its application in multi-class motor imagery–based eeg-bci system.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation Essdm: An enhanced sparse swarm decomposition method and its application in multi-class motor imagery–based eeg-bci system

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:58:04.546663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:58:03.144072Z digest=sha256:7a1221000082b16da264521f53204c7269a738f5080984a8a792bebdd272d669

Observation 61ecc424-a99f-4d4a-8efc-52689a5c4950 · outbound

This paper cites Fcp-net: A feature-compression-pyramid network guided by game-theoretic interactions for medical image segmentation.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation Fcp-net: A feature-compression-pyramid network guided by game-theoretic interactions for medical image segmentation

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:58:04.515928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:58:03.152073Z digest=sha256:2f07f2a71b8e32aa0a35bfb564d6cf289c370d80ced736e07a6f21dd4a839254

Observation f4585f2c-0932-4d6d-beae-07372a6bbc4d · outbound

This paper cites Detection of tumor in liver using image segmentation and registration technique.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation Detection of tumor in liver using image segmentation and registration technique

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:58:04.481040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:58:03.161359Z digest=sha256:97032d75790d549a612ab7192605dea69a090fa46206429b21bbf9a83829f152

Observation 4fa6f46b-6762-4024-be02-d5bc673f96fd · outbound

This paper cites Imagined speech-eeg detection using multivariate swarm sparse decomposition-based joint time-frequency analysis for intuitive bci.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation Imagined speech-eeg detection using multivariate swarm sparse decomposition-based joint time-frequency analysis for intuitive bci

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:58:04.448487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:58:03.170022Z digest=sha256:23cc487d5d15a9a9cd4802c2251b3b1a1bbc9e967922bc467cfe116c6ce33607

Observation e7cfa465-0606-4866-a36a-1a6a04a4ba4f · outbound

This paper cites Application of improved convolutional neural network in medical image segmentation.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation Application of improved convolutional neural network in medical image segmentation

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T18:58:03.177186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:58:03.177186Z digest=sha256:ea7d7ec17e2fb5722e365ccfb50ccc32c8caefcda26d47e6904022919f22eb86

Observation 40c51f3e-c593-4460-a41a-d00ba3ec9dc5 · outbound

This paper cites Application of improved convolutional neural network in lung image segmentation.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation Application of improved convolutional neural network in lung image segmentation

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:58:04.390756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:58:03.186358Z digest=sha256:9768b990cb0470b34a5471a401e03f05676843f69bb32ecfded33772b90d1b6d

Observation bfdaf3a3-7b4e-4778-9d4d-cf7bd5e59ac2 · outbound

This paper cites 3d u-net applied to simple attention module for head and neck tumor segmentation in pet and ct images.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation 3d u-net applied to simple attention module for head and neck tumor segmentation in pet and ct images

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T18:58:03.196223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:58:03.196223Z digest=sha256:d63c78ee532923f008ba8f49842c989cef94850920ed1d3846a928db9db2360c

Observation ca906d92-710f-42a0-a7de-d66522181a0f · outbound

This paper cites Sr-net: A sequence offset fusion net and refine net for undersampled multislice mr image reconstruction.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation Sr-net: A sequence offset fusion net and refine net for undersampled multislice mr image reconstruction

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:58:04.351321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:58:03.203040Z digest=sha256:89193abaecba680f5743843b45f0563aa47bc4441f622b7ade1aaa70a0e46651

Observation a9b802ce-52fc-4d24-afcb-f55c3470e3ed · outbound

This paper cites Multi-view hierarchical split network for brain tumor segmentation.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation Multi-view hierarchical split network for brain tumor segmentation

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T18:58:03.211600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:58:03.211600Z digest=sha256:1108846e83a465a4f3894fea1d56db7ff9f9041a84ee891e9fdb9ca50fc97c0d

Observation bcaa46d5-251e-4a72-89d7-dc52149a5c64 · outbound

This paper cites Rmmlp:rolling mlp and matrix decomposition for skin lesion segmentation.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation Rmmlp:rolling mlp and matrix decomposition for skin lesion segmentation

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T18:58:03.217862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:58:03.217862Z digest=sha256:8b541f789bd760ac05f23bb72a0d64d27b9a0257d942dcef1835e65f0f422af9

Observation f9f28375-92d3-434a-8444-d18ecb4b546f · outbound

This paper cites Efficient combination of cnn and transformer for dual-teacher uncertainty-guided semi-supervised medical image segmentation.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation Efficient combination of cnn and transformer for dual-teacher uncertainty-guided semi-supervised medical image segmentation

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T18:58:03.226631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:58:03.226631Z digest=sha256:63a58bbc8c89b39d54f842fcf04d72dda62f607cd762f7b97c8f3a0d19877f3d

Observation 48bad18b-e7dc-4fd0-ad15-1d0eb0775c65 · outbound

This paper cites Light3dhs: A lightweight 3d hippocampus segmentation method using multiscale convolution attention and vision transformer.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation Light3dhs: A lightweight 3d hippocampus segmentation method using multiscale convolution attention and vision transformer

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T18:58:03.240920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:58:03.240920Z digest=sha256:1b4e32632a737261bbd6314e5d2affd98c08303793f6e6b043cc16bce6a65c41

Observation 3d7571e3-f970-4183-93b1-568dea96ccf8 · outbound

This paper cites Fully convolutional networks for semantic segmentation.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation Fully convolutional networks for semantic segmentation

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:58:04.253992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:58:03.248101Z digest=sha256:6d803d1b2eb0c37c81cca9d15c066bb5c18721123e45175314b05e24be43ab4a

Observation 49ba9ec0-00d0-480a-ae96-61fa90c7ab7f · outbound

This paper cites Squeeze-and-excitation networks.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation Squeeze-and-excitation networks

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:58:04.233088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:58:03.260265Z digest=sha256:d6c4fe8f49f34d32ec11fae83519e623da097dba0b4baa6c2b67ee7b901e54ee

Observation 306251c4-3260-43ea-bda1-72899f48d399 · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:58:04.201558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:58:03.269501Z digest=sha256:c60a1bf723a717760d1c85e7cf1630387eea55c2c25de4d6352764110f153b40

Observation fb2629a7-4b43-45be-b475-ee47a359a09b · outbound

This paper cites HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPS.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPS

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T18:58:03.283082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:58:03.283082Z digest=sha256:6041619c81bb24db379b2a0af61212aed773b220d420e72e57970e3a8c36a2a4

Observation fa9044e5-5c77-49f2-9246-83c0164fa352 · outbound

This paper cites Automatic polyp segmentation via multi-scale subtraction network.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation Automatic polyp segmentation via multi-scale subtraction network

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:58:04.174400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:58:03.289843Z digest=sha256:bf3dded32e9bce6796961c92cc5b0304b3de2a1776a1d8927df7436b3b5aa9d8

Observation 0731ea32-dede-4723-a742-674634d0b1e1 · outbound

This paper cites CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:58:03.646730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:58:03.301018Z digest=sha256:c523ee5d7ad2c8c3ed3641e93db128ac64fd2720a9eb9247c0b84760fea1f3a9

Observation 4cc64d4c-dbea-48a5-ade8-4fe04d59635a · outbound

This paper cites Global and local feature reconstruction for medical image segmentation.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation Global and local feature reconstruction for medical image segmentation

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:58:04.153077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:58:03.310363Z digest=sha256:803189dae9844cb7147844057435eee2e8569a4343e7cee5ce158a57a1792633

Observation 1236ef41-40c1-4be0-9a2f-fa469a07c84d · outbound

This paper cites an unresolved cited work.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:58:04.128869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:58:03.316658Z digest=sha256:8c42f11013c85f9b103cedabe507d3920910f1a62aaca243b018aa14cfde0288

Observation 44376db3-d175-43b1-a161-08ae63340104 · outbound

This paper cites Kevin Zhou, and Zhen Li.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation Kevin Zhou, and Zhen Li

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:58:04.103468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:58:03.322380Z digest=sha256:4770f5e48557c0d7ccda1be5f9339506fc1b6c799f59966e5de2fb3581ab565f

Observation 6544163b-5e64-4236-894a-0751bc7898d4 · outbound

This paper cites Semi-supervised ct image segmentation via contrastive learning based on entropy constraints.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation Semi-supervised ct image segmentation via contrastive learning based on entropy constraints

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T18:58:03.333916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:58:03.333916Z digest=sha256:452e3244845f5bcee88b53690985cfbdff129a7f529e26ceab0fbec8d2038cb5

Observation 455249cb-9244-479e-9418-f8a55c3e2fc7 · outbound

This paper cites Frcnet: Feature refining and context-guided network for efficient polyp segmentation.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation Frcnet: Feature refining and context-guided network for efficient polyp segmentation

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:58:04.048794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:58:03.340704Z digest=sha256:b6cbd28ec60989172b5c306124041cecb529b8486d6d2e429079cb3174f8397f

Observation 9fadc1b5-76e2-40b8-ad35-04fdaa365884 · outbound

This paper cites Multi-task learning for segmentation and classification of tumors in 3d automated breast ultrasound images.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation Multi-task learning for segmentation and classification of tumors in 3d automated breast ultrasound images

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:58:04.017676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:58:03.348871Z digest=sha256:c53c7e606a75ec045fe54564a073c8df7e5d5f3c7af058c8462024de1f0fead8

Observation feb1640f-43cc-4886-9f97-494059d06313 · outbound

This paper cites Girshick.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation Girshick

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:58:03.989325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:58:03.360859Z digest=sha256:2900db2f9e5b2706ec06fc6f4308c4507cab03f90367f9eb2b465951f63b65d3

Observation 4535ef36-3d02-499a-a0a8-291276130911 · outbound

This paper cites an unresolved cited work.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:58:03.962389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:58:03.366280Z digest=sha256:f1188994ebbd5e905efd94a49f1a996ea1d58d2715c188cb466c9d39157d8006

Observation b7c8c092-7f4c-4e77-86f8-34017e55ea10 · outbound

This paper cites Exploring simple siamese representation learning.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation Exploring simple siamese representation learning

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:58:03.938023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:58:03.372730Z digest=sha256:4137b911ab331188b79bba44331a70863a35bb33feac267c28f11920b724a93b

Observation 292bd0ec-f89a-4d88-bf8d-351624f02c66 · outbound

This paper cites Facenet: A unified embedding for face recognition and clustering.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation Facenet: A unified embedding for face recognition and clustering

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:58:03.909956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:58:03.381232Z digest=sha256:1526154123125c21066910806c0cbbebb40ec92f963e52ec35e231cc175815ca

Observation d1b65cbb-a014-48d6-a3d8-97b05caae189 · outbound

This paper cites Automated classification of cognitive visual objects using multivariate swarm sparse decomposition from multichannel EEG-MEG signals.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation Automated classification of cognitive visual objects using multivariate swarm sparse decomposition from multichannel EEG-MEG signals

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:58:03.880787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:58:03.391590Z digest=sha256:045bdba077af75298e8e03fc2487ad2af635bf72de5856974bab7f5330e273db

Observation 9b61f3f7-702c-4a95-941c-1ef4abb96c27 · outbound

This paper cites Sparse spectrum based swarm decomposition for robust nonstationary signal analysis with application to sleep apnea detection from EEG.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation Sparse spectrum based swarm decomposition for robust nonstationary signal analysis with application to sleep apnea detection from EEG

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:58:03.821651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:58:03.397753Z digest=sha256:c189e3228e7e9518a4ba6a42c8940f89cb73ea989a7dd45f91688f809229d453

Observation a408bca5-2f04-491a-84e0-7c2e27c13656 · outbound

This paper cites nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-06T18:58:03.403267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:58:03.403267Z digest=sha256:1457c1d067353aaa32ec6119a456982f68506b1210775116b4163be65f63abd1

Observation 34a18461-083a-40d3-8d95-2b4aa43421cc · outbound

This paper cites WM-DOV A maps for accurate polyp highlighting in colonoscopy: Validation vs.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation WM-DOV A maps for accurate polyp highlighting in colonoscopy: Validation vs

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:58:03.790327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:58:03.409676Z digest=sha256:a04c0dca90b813162653c72005bd20c3c88c76354bd53d5df536f32e9b48a97c

Observation 7c063406-c425-4532-92ef-c1a5523bd535 · outbound

This paper cites Gurudu, and Jianming Liang.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation Gurudu, and Jianming Liang

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:58:03.767584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:58:03.421648Z digest=sha256:86493557214a3f746390cda3bb84b68df01113dcf9363af693d22224c0224186

Observation c686fa2c-e8e2-4cb8-8aa1-be317e109938 · outbound

This paper cites A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images

Reference 59

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T18:58:03.562274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:58:03.430286Z digest=sha256:2b39ff311f42e36601961707c2139f46b465216bcc8d6861dab6eafe97899bb1

Observation a2a5e8e6-8787-45e6-9d0f-8a2ad41dbe5b · outbound

This paper cites Toward embedded detection of polyps in WCE images for early diagnosis of colorectal cancer.

CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation Toward embedded detection of polyps in WCE images for early diagnosis of colorectal cancer

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:58:03.747943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:58:03.441838Z digest=sha256:784ee0806f9eb4163a3cb47392ce2492e41f93488db3b98057505e7e47da08d4

Pith citing papers

No inbound Pith citation observations are available.