Paper Citation Record · LEDGER

Deep Learning Enabled Segmentation, Classification and Risk Assessment of Cervical Cancer

As of 14 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 1 inbound Pith citation observation for arXiv:2505.15505.

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

pith.paper-citation-record.v1
2505.15505 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:20:21.193715Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T12:58:07.349876Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

40 of 40 outbound references displayed

verified exact0
verified fuzzy37
unresolved3
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 59890fc1-c156-41b1-a8fa-3ad6ed0622e3 · outbound

This paper cites Cervical cancer: Prevention and early detection,.

Deep Learning Enabled Segmentation, Classification and Risk Assessment of Cervical Cancer Cervical cancer: Prevention and early detection,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:27.614172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 88225515-913d-46c5-89c4-370a0f582c9b · outbound

This paper cites Cervical cancer diagnosis using random forest classifier with smote and feature reduction techniques,.

Deep Learning Enabled Segmentation, Classification and Risk Assessment of Cervical Cancer Cervical cancer diagnosis using random forest classifier with smote and feature reduction techniques,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:27.458109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f28b3767-c302-4e34-a532-554c2af63012 · outbound

This paper cites Principal components analysis (PCA),.

Deep Learning Enabled Segmentation, Classification and Risk Assessment of Cervical Cancer Principal components analysis (PCA),

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:27.306054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation df10a5bb-eb59-4a39-97b4-64fe5ee9a1d4 · outbound

This paper cites A review of applications of image analysis and machine learning techniques in automated diagnosis and classification of cervical cancer from pap-smear images,.

Deep Learning Enabled Segmentation, Classification and Risk Assessment of Cervical Cancer A review of applications of image analysis and machine learning techniques in automated diagnosis and classification of cervical cancer from pap-smear images,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:27.140183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e87cd0b9-175d-42ab-8328-c777f865a919 · outbound

This paper cites Historical analysis of the brazilian cervical cancer screening program from 2006 to 2013: A time for reflection,.

Deep Learning Enabled Segmentation, Classification and Risk Assessment of Cervical Cancer Historical analysis of the brazilian cervical cancer screening program from 2006 to 2013: A time for reflection,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:26.983453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 86cd6d0d-c4b9-407a-8354-40a7baeec047 · outbound

This paper cites Segmentation and clas- sification techniques for pap smear images in detecting cervical cancer: A systematic review,.

Deep Learning Enabled Segmentation, Classification and Risk Assessment of Cervical Cancer Segmentation and clas- sification techniques for pap smear images in detecting cervical cancer: A systematic review,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:26.793022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1d320309-0e26-4b63-b9a0-c27e3393ec09 · outbound

This paper cites U-Net: Convolutional net- works for biomedical image segmentation,.

Deep Learning Enabled Segmentation, Classification and Risk Assessment of Cervical Cancer U-Net: Convolutional net- works for biomedical image segmentation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:26.651025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9cd679c0-f5bc-425a-b5f8-09dc89f49bf3 · outbound

This paper cites A survey of convolutional neural networks: Analysis, applications, and prospects,.

Deep Learning Enabled Segmentation, Classification and Risk Assessment of Cervical Cancer A survey of convolutional neural networks: Analysis, applications, and prospects,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:26.491470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bfb73f75-7a2d-4830-9a38-9081704baceb · outbound

This paper cites Early detection and categorization of cervical cancer cells using smoothing cross entropy-based multi-deep transfer learning,.

Deep Learning Enabled Segmentation, Classification and Risk Assessment of Cervical Cancer Early detection and categorization of cervical cancer cells using smoothing cross entropy-based multi-deep transfer learning,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:26.336873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4a7b2312-bda3-48f7-8572-fd8219a96ee4 · outbound

This paper cites Searching for mobilenetv3,.

Deep Learning Enabled Segmentation, Classification and Risk Assessment of Cervical Cancer Searching for mobilenetv3,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:26.153954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 290848c7-50bb-4d5a-83b8-4197dfffff46 · outbound

This paper cites Deep residual learning for image recognition,.

Deep Learning Enabled Segmentation, Classification and Risk Assessment of Cervical Cancer Deep residual learning for image recognition,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:26.006294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 458ec429-b521-4873-a8f3-bbcad36ee60c · outbound

This paper cites MLNet: metaheuristics- based lightweight deep learning network for cervical cancer diagnosis,.

Deep Learning Enabled Segmentation, Classification and Risk Assessment of Cervical Cancer MLNet: metaheuristics- based lightweight deep learning network for cervical cancer diagnosis,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:25.806241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d9d411f3-3f70-4b55-b931-9cd1a4b48e4b · outbound

This paper cites Pap-smear (DTU/HERLEV) databases,.

Deep Learning Enabled Segmentation, Classification and Risk Assessment of Cervical Cancer Pap-smear (DTU/HERLEV) databases,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:25.619022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 69661f55-096b-489a-8ee4-7f24226294f0 · outbound

This paper cites Sipakmed: A new dataset for feature and image based classification of normal and pathological cervical cells in pap smear images,.

Deep Learning Enabled Segmentation, Classification and Risk Assessment of Cervical Cancer Sipakmed: A new dataset for feature and image based classification of normal and pathological cervical cells in pap smear images,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:25.444417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 917de32a-17bd-4cd5-b5de-341ca3034549 · outbound

This paper cites Liquid based- cytology pap smear dataset for automated multi-class diagnosis of pre- cancerous and cervical cancer lesions,.

Deep Learning Enabled Segmentation, Classification and Risk Assessment of Cervical Cancer Liquid based- cytology pap smear dataset for automated multi-class diagnosis of pre- cancerous and cervical cancer lesions,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:25.258547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b974c024-0cf6-4302-a730-328a3f4780a3 · outbound

This paper cites Deeppap: Deep convolutional networks for cervical cell classification,.

Deep Learning Enabled Segmentation, Classification and Risk Assessment of Cervical Cancer Deeppap: Deep convolutional networks for cervical cell classification,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:25.062922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0f57b255-17d3-45f7-9ca6-a42444516d04 · outbound

This paper cites A deep neural network for cervical cell classification based on cytology images,.

Deep Learning Enabled Segmentation, Classification and Risk Assessment of Cervical Cancer A deep neural network for cervical cell classification based on cytology images,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:24.888053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 59a103ff-403c-4fc1-af6d-7e7d570a2fad · outbound

This paper cites Res dcgan and resnet50v2 with self-attention for cervical cell classification,.

Deep Learning Enabled Segmentation, Classification and Risk Assessment of Cervical Cancer Res dcgan and resnet50v2 with self-attention for cervical cell classification,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:24.770197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 40e68a9d-56d1-495a-a8c8-6451a5fdb1b8 · outbound

This paper cites Ps3c: A two-step framework for pap smear screening support with deep ensemble learning,.

Deep Learning Enabled Segmentation, Classification and Risk Assessment of Cervical Cancer Ps3c: A two-step framework for pap smear screening support with deep ensemble learning,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:24.607029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 092d092f-de4b-4689-a502-a4c4155994a9 · outbound

This paper cites Evaluation of deep transfer learning for cervical cancer classification using pap smear images,.

Deep Learning Enabled Segmentation, Classification and Risk Assessment of Cervical Cancer Evaluation of deep transfer learning for cervical cancer classification using pap smear images,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:24.488115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6c35f3b5-6032-4aa9-9963-e67fe2be4a00 · outbound

This paper cites Application of deep learning algorithm in cervical cancer mri image segmentation based on wireless sensor,.

Deep Learning Enabled Segmentation, Classification and Risk Assessment of Cervical Cancer Application of deep learning algorithm in cervical cancer mri image segmentation based on wireless sensor,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:24.286182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a4b4f755-4736-4c24-a230-e816d3063721 · outbound

This paper cites Deep learning for cell image segmentation and ranking,.

Deep Learning Enabled Segmentation, Classification and Risk Assessment of Cervical Cancer Deep learning for cell image segmentation and ranking,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:24.091897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1ee95b62-a1f0-4443-8ded-79cf4d01d997 · outbound

This paper cites A deep learning based framework for accurate segmentation of cervical cytoplasm and nuclei,.

Deep Learning Enabled Segmentation, Classification and Risk Assessment of Cervical Cancer A deep learning based framework for accurate segmentation of cervical cytoplasm and nuclei,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:23.878493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f2951f85-27f9-4fc6-9182-f86c577f48ed · outbound

This paper cites Automatic segmentation of cervical nuclei based on deep learning and a conditional random field,.

Deep Learning Enabled Segmentation, Classification and Risk Assessment of Cervical Cancer Automatic segmentation of cervical nuclei based on deep learning and a conditional random field,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:23.751367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ac33ec3d-8172-4647-942c-c6e09ff5c3db · outbound

This paper cites Segmentation of cervical cell images based on generative adversarial networks,.

Deep Learning Enabled Segmentation, Classification and Risk Assessment of Cervical Cancer Segmentation of cervical cell images based on generative adversarial networks,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:23.602573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 553ee717-6a4d-4131-a751-d3fb95597910 · outbound

This paper cites Accurate cervical cell segmentation from overlapping clumps in pap smear images,.

Deep Learning Enabled Segmentation, Classification and Risk Assessment of Cervical Cancer Accurate cervical cell segmentation from overlapping clumps in pap smear images,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:23.418690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c6fb7765-2f54-48ed-b7d2-6cf773dd2e7e · outbound

This paper cites A framework for diagnosing cervical cancer disease based on feedforward MLP neural network and thinprep histopathological cell image features,.

Deep Learning Enabled Segmentation, Classification and Risk Assessment of Cervical Cancer A framework for diagnosing cervical cancer disease based on feedforward MLP neural network and thinprep histopathological cell image features,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:23.205093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0920cd2f-7520-4bcf-a189-341bdafad76f · outbound

This paper cites Automatic classification of cervical cancer from cytological images by using convolutional neural network,.

Deep Learning Enabled Segmentation, Classification and Risk Assessment of Cervical Cancer Automatic classification of cervical cancer from cytological images by using convolutional neural network,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:23.065543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 436fd69c-1794-470b-91d2-e162cfc7851e · outbound

This paper cites Automatic cervical cell segmentation and classification in pap smears,.

Deep Learning Enabled Segmentation, Classification and Risk Assessment of Cervical Cancer Automatic cervical cell segmentation and classification in pap smears,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:22.920069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2024fe9d-5159-48cb-9124-23e21f79bc0f · outbound

This paper cites Cytoplasm and nucleus segmentation in cervical smear images using radiating GVF snake,.

Deep Learning Enabled Segmentation, Classification and Risk Assessment of Cervical Cancer Cytoplasm and nucleus segmentation in cervical smear images using radiating GVF snake,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:22.751820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ad86fe62-8ad1-4c44-a9b4-b1ffcee10eb9 · outbound

This paper cites Nucleus and cytoplast contour detector of cervical smear image,.

Deep Learning Enabled Segmentation, Classification and Risk Assessment of Cervical Cancer Nucleus and cytoplast contour detector of cervical smear image,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:22.568921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3e0e201e-4c55-4d9b-86f5-fe8dbd6f1cbc · outbound

This paper cites Nucleus and cytoplast contour detector of cervical smear image,.

Deep Learning Enabled Segmentation, Classification and Risk Assessment of Cervical Cancer Nucleus and cytoplast contour detector of cervical smear image,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:22.432658Z

Source-reported events for the cited work

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Observation fe1c71b4-c2a1-4f3e-9abe-99363d64efb8 · outbound

This paper cites LinkNet: exploiting encoder repre- sentations for efficient semantic segmentation,.

Deep Learning Enabled Segmentation, Classification and Risk Assessment of Cervical Cancer LinkNet: exploiting encoder repre- sentations for efficient semantic segmentation,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:22.221145Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0d721d20-eb4f-4ecf-ad43-47286475c2b0 · outbound

This paper cites Feature pyramid networks for object detection,.

Deep Learning Enabled Segmentation, Classification and Risk Assessment of Cervical Cancer Feature pyramid networks for object detection,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:22.066393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5d0207f8-0caf-4477-8ef9-a5e913db5ba7 · outbound

This paper cites Pyramid scene parsing network,.

Deep Learning Enabled Segmentation, Classification and Risk Assessment of Cervical Cancer Pyramid scene parsing network,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:21.811274Z

Source-reported events for the cited work

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Observation b8454b19-67f7-4e1c-bbbd-8466951e28ad · outbound

This paper cites Segmentation models,.

Deep Learning Enabled Segmentation, Classification and Risk Assessment of Cervical Cancer Segmentation models,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:21.603308Z

Source-reported events for the cited work

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Observation b741a9a9-13dc-460d-b8eb-903627025075 · outbound

This paper cites Imagenet classifica- tion with deep convolutional neural networks,.

Deep Learning Enabled Segmentation, Classification and Risk Assessment of Cervical Cancer Imagenet classifica- tion with deep convolutional neural networks,

Reference 37

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Source-reported events for the cited work

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This paper cites Densely connected convolutional networks,.

Deep Learning Enabled Segmentation, Classification and Risk Assessment of Cervical Cancer Densely connected convolutional networks,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:21.382825Z

Source-reported events for the cited work

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Observation 1d3016a2-d890-46b4-9167-84bd54ac68fe · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Deep Learning Enabled Segmentation, Classification and Risk Assessment of Cervical Cancer Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 39

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Observation f7292605-42a9-4d69-9469-7c86533e9fab · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Deep Learning Enabled Segmentation, Classification and Risk Assessment of Cervical Cancer Adam: A Method for Stochastic Optimization

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T15:20:21.193715Z

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Pith citing papers

Observation 937e1ee7-c7b9-4913-b467-a6ad1ffe4394 · inbound

Geometry-aware Gaussian Prior and Axial Attention for Cervical Cytology Image Classification cites this paper.

Geometry-aware Gaussian Prior and Axial Attention for Cervical Cytology Image Classification Deep Learning Enabled Segmentation, Classification and Risk Assessment of Cervical Cancer

Reference 80

Resolution: unresolved; no resolver link, observed 2026-07-14T12:58:07.349876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.