Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation | Paper Citation Record

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This paper cites Worldwide variations in colorectal cancer.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Worldwide variations in colorectal cancer

Reference 1

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Observation f2f85a80-cdff-4ee8-88b1-a3aa000217fa · outbound

This paper cites Colorectal cancer.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Colorectal cancer

Reference 2

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Observation 1b47442c-7a4f-4597-8041-adac69052554 · outbound

This paper cites Colorectal cancer.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Colorectal cancer

Reference 3

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Observation 9dc1349c-70c2-46d8-8905-a4fb6a71e5fa · outbound

This paper cites Coinnet: A convolution-involution network with a novel statistical attention for automatic polyp segmentation.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Coinnet: A convolution-involution network with a novel statistical attention for automatic polyp segmentation

Reference 4

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This paper cites Know your orientation: A viewpoint-aware framework for polyp segmentation.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Know your orientation: A viewpoint-aware framework for polyp segmentation

Reference 5

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

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Pranet: Parallel reverse attention network for polyp segmentation

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:13.649237Z

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Observation 849de3cd-257c-4c5a-8eb0-49cafe2f4472 · outbound

This paper cites Adaptive context selection for polyp segmentation.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Adaptive context selection for polyp segmentation

Reference 7

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Observation 50363ade-dcb7-4c06-8463-236d134be2f6 · outbound

This paper cites Collaborative and adversarial learning of focused and dispersive representations for semi-supervised polyp segmentation.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Collaborative and adversarial learning of focused and dispersive representations for semi-supervised polyp segmentation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:13.634264Z

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Observation d2d9a925-2e64-4592-aa5a-02fc5a5928f4 · outbound

This paper cites Learning with local and global consistency.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Learning with local and global consistency

Reference 9

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Observation 247e8225-9d69-4dad-9e8b-b3d42fe10e58 · outbound

This paper cites Fixmatch: Simplifying semi-supervised learning with consistency and confidence.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Fixmatch: Simplifying semi-supervised learning with consistency and confidence

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:13.615602Z

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This paper cites Revisiting weak-to-strong consistency in semi-supervised semantic segmentation.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Revisiting weak-to-strong consistency in semi-supervised semantic segmentation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:13.608267Z

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Observation ad9c6004-c1d7-41cf-bdda-b8301bdcbc3f · outbound

This paper cites Dual student: Breaking the limits of the teacher in semi-supervised learning.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Dual student: Breaking the limits of the teacher in semi-supervised learning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:13.600278Z

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Observation 9272f759-33da-43e6-b02e-92fe1980d136 · outbound

This paper cites Atso: Asynchronous teacher-student optimization for semi-supervised image segmentation.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Atso: Asynchronous teacher-student optimization for semi-supervised image segmentation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:13.592984Z

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Observation 31c63218-c866-4434-8252-7c7aa7e1d64e · outbound

This paper cites Semi-supervised semantic segmentation with cross pseudo supervision.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Semi-supervised semantic segmentation with cross pseudo supervision

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:13.585357Z

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Observation 6026d494-5d60-4888-96b5-d37018b7234d · outbound

This paper cites Mutual consistency learning for semi-supervised medical image segmentation.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Mutual consistency learning for semi-supervised medical image segmentation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:13.577778Z

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Observation 1d266e39-b5f5-459b-a926-a9a13d4023aa · outbound

This paper cites Cuts: A deep learning and topological framework for multigranular unsupervised medical image segmentation.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Cuts: A deep learning and topological framework for multigranular unsupervised medical image segmentation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:13.569805Z

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Observation 7e61c2a8-f235-490b-9400-d9d02662dc60 · outbound

This paper cites Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:13.561673Z

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Observation 3115c6d9-e618-4864-b767-fa2d70e4d782 · outbound

This paper cites Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency

Reference 18

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Observation c4ad376e-211c-409b-8ddf-575f2a65409a · outbound

This paper cites Inconsistency-aware uncertainty estimation for semi-supervised medical image segmentation.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Inconsistency-aware uncertainty estimation for semi-supervised medical image segmentation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:13.546082Z

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Observation b48bab16-3c14-40cb-9ace-d5957db2be84 · outbound

This paper cites Compete to win: Enhancing pseudo labels for barely-supervised medical image segmentation.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Compete to win: Enhancing pseudo labels for barely-supervised medical image segmentation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:13.538368Z

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Observation e7f83fed-132d-4046-8d75-cd53f90106ba · outbound

This paper cites Pseudo-label guided contrastive learning for semi- supervised medical image segmentation.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Pseudo-label guided contrastive learning for semi- supervised medical image segmentation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:13.530463Z

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Observation 7c35c895-1fb0-476c-b4b5-74010b846a88 · outbound

This paper cites Rcps: Rectified contrastive pseudo supervision for semi-supervised medical image segmentation.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Rcps: Rectified contrastive pseudo supervision for semi-supervised medical image segmentation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:13.522121Z

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Observation 8e5a8cdd-954c-494d-95d2-ac27549f1aa4 · outbound

This paper cites Semi- supervised medical image segmentation using adversarial consistency learning and dynamic convolution network.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Semi- supervised medical image segmentation using adversarial consistency learning and dynamic convolution network

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:13.513866Z

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Observation 850099c4-d0ff-4eec-8724-227402f1a07b · outbound

This paper cites Semi-supervised medical image segmentation through dual-task consistency.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Semi-supervised medical image segmentation through dual-task consistency

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:13.505976Z

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Observation b896120a-2d31-462d-ac03-7b545ee424b9 · outbound

This paper cites Diffkillr: Killing and recreating diffeomorphisms for cell annotation in dense microscopy images.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Diffkillr: Killing and recreating diffeomorphisms for cell annotation in dense microscopy images

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:13.497810Z

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Observation 01747c6c-d4da-415b-803f-c64402d4e58a · outbound

This paper cites Rethinking copy-paste for consistency learning in medical image segmentation.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Rethinking copy-paste for consistency learning in medical image segmentation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:13.489857Z

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Observation 7ef1d2dc-17d7-4244-937f-2b559e49cdc4 · outbound

This paper cites Cutmix: Regularization strategy to train strong classifiers with localizable features.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Cutmix: Regularization strategy to train strong classifiers with localizable features

Reference 27

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Observation 4c84854a-b66e-4084-85a7-95597e88873a · outbound

This paper cites Learn to threshold: Thresholdnet with confidence-guided manifold mixup for polyp segmentation.IEEE transactions on medical imaging, 40(4):1134–1146, 2020.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Learn to threshold: Thresholdnet with confidence-guided manifold mixup for polyp segmentation.IEEE transactions on medical imaging, 40(4):1134–1146, 2020

Reference 28

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Observation 76388698-227d-4a80-85fe-1403c453683c · outbound

This paper cites Msrf-net: a multi-scale residual fusion network for biomedical image segmentation.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Msrf-net: a multi-scale residual fusion network for biomedical image segmentation

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:13.469382Z

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Observation f29040ce-b799-418b-afa5-e54f3ff4b5b4 · outbound

This paper cites Fuzzynet: A fuzzy attention module for polyp segmentation.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Fuzzynet: A fuzzy attention module for polyp segmentation

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:13.461858Z

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Observation afc4e306-e3b9-454f-a8b0-9db3b49f2dad · outbound

This paper cites Cross- level feature aggregation network for polyp segmentation.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Cross- level feature aggregation network for polyp segmentation

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:13.454412Z

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Observation c7285a68-2544-4deb-9a10-93adc88171f6 · outbound

This paper cites Meganet: Multi-scale edge-guided attention network for weak boundary polyp segmentation.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Meganet: Multi-scale edge-guided attention network for weak boundary polyp segmentation

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:13.447188Z

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Observation 6d2e7bff-2f04-4a62-98b1-dcb1fa00101c · outbound

This paper cites Uacanet: Uncertainty augmented context attention for polyp segmentation.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Uacanet: Uncertainty augmented context attention for polyp segmentation

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:13.439708Z

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Observation ff05cf1f-a393-4b50-90f1-67812c236bf2 · outbound

This paper cites Shallow attention network for polyp segmentation.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Shallow attention network for polyp segmentation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:13.431999Z

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Observation 28cb4658-fccf-4f94-af78-771147365e9d · outbound

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

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers

Reference 35

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Observation 6fcf5b77-13f9-48d3-ba61-c82c44ce4a1a · outbound

This paper cites Ctnet: Contrastive transformer network for polyp segmentation.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Ctnet: Contrastive transformer network for polyp segmentation

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:13.424907Z

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Observation 19fdb64b-3a1a-4a7c-a797-42cd2714179c · outbound

This paper cites Fcn-transformer feature fusion for polyp segmentation.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Fcn-transformer feature fusion for polyp segmentation

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:13.417780Z

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Observation 8050f4a9-81f2-48ce-b244-58c5bf0672a9 · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation mixup: Beyond Empirical Risk Minimization

Reference 38

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Observation 37f2a6e0-011e-4372-97be-217c5de385ad · outbound

This paper cites Improved Regularization of Convolutional Neural Networks with Cutout.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Improved Regularization of Convolutional Neural Networks with Cutout

Reference 39

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Observation a7c6e18b-70b6-438d-974f-2261441f68af · outbound

This paper cites Bidirectional copy-paste for semi-supervised medical image segmentation.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Bidirectional copy-paste for semi-supervised medical image segmentation

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:13.410633Z

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Observation 3b74f9d6-48fe-4e9c-a51b-caba08d7caf6 · outbound

This paper cites AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

Reference 41

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Observation 952cfa54-3c5c-4475-b15e-59c1fce9beeb · outbound

This paper cites Dfm-x: Augmentation by leveraging prior knowledge of shortcut learning.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Dfm-x: Augmentation by leveraging prior knowledge of shortcut learning

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:13.403320Z

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Observation 10615654-5512-41c1-89c2-20fa029f5cbb · outbound

This paper cites A fourier-based framework for domain generalization.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation A fourier-based framework for domain generalization

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:13.396059Z

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Observation 3d24dbc5-99f5-4402-ad86-9df36303131e · outbound

This paper cites Fsdr: Frequency space domain randomization for domain generalization.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Fsdr: Frequency space domain randomization for domain generalization

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:13.388425Z

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Observation 0defca38-2c1d-4db8-b7c1-49a1c4a57f6f · outbound

This paper cites Design of an image edge detection filter using the sobel operator.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Design of an image edge detection filter using the sobel operator

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:13.381176Z

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Observation b3c6a2dd-69e7-48f3-8a4e-8ab2367dd4dd · outbound

This paper cites Combo loss: Handling input and output imbalance in multi-organ segmentation.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Combo loss: Handling input and output imbalance in multi-organ segmentation

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:13.373543Z

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Observation 179e68f5-c6a9-4bd9-b19b-c6d020ceaf96 · outbound

This paper cites Kvasir-seg: A segmented polyp dataset.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Kvasir-seg: A segmented polyp dataset

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:13.366044Z

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Observation b8d406a6-5956-433a-affd-16e5a1878571 · outbound

This paper cites Wm-dova maps for accurate polyp highlighting in colonoscopy: Validation vs.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Wm-dova maps for accurate polyp highlighting in colonoscopy: Validation vs

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:13.358319Z

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Observation 638b8830-95dd-4c59-b6f6-f72cd71e0d6e · outbound

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

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Toward embedded detection of polyps in wce images for early diagnosis of colorectal cancer

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:13.350770Z

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Observation 59ba60a5-92a5-4d96-9bf0-44a21470e43c · outbound

This paper cites Towards automatic polyp detection with a polyp appearance model.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Towards automatic polyp detection with a polyp appearance model

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:13.343195Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2c43fff4-1d97-4f0a-8ddb-5ab466b538ae · outbound

This paper cites Bkai-igh neopolyp.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Bkai-igh neopolyp

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:13.335647Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8a9629e3-d512-4c4a-b9fa-83f60fd95158 · outbound

This paper cites Dynamic spectrum-driven hierarchical learning network for polyp segmentation.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Dynamic spectrum-driven hierarchical learning network for polyp segmentation

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:13.327704Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fed67ff0-18c3-4952-845c-f88d3c400c99 · outbound

This paper cites Bilateral supervision network for semi-supervised medical image segmentation.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Bilateral supervision network for semi-supervised medical image segmentation

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:13.319852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 508301c5-9250-46bf-bfbd-9d2fa06385d5 · outbound

This paper cites Caussl: Causality- inspired semi-supervised learning for medical image segmentation.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Caussl: Causality- inspired semi-supervised learning for medical image segmentation

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:13.311471Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation deb2fd8b-1a61-48cf-932c-f75dce6f9e3f · outbound

This paper cites Adaptive bidirectional displacement for semi-supervised medical image segmentation.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Adaptive bidirectional displacement for semi-supervised medical image segmentation

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:13.301793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fbedb48f-7270-49ca-babc-9fcc451d8b55 · outbound

This paper cites Dycon: Dynamic uncertainty-aware consistency and contrastive learning for semi-supervised medical image segmentation.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Dycon: Dynamic uncertainty-aware consistency and contrastive learning for semi-supervised medical image segmentation

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:13.293671Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ca66cc65-9ed1-4197-bc92-526ce4412388 · outbound

This paper cites Background matters: A cross-view bidirectional modeling framework for semi-supervised medical image segmentation.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Background matters: A cross-view bidirectional modeling framework for semi-supervised medical image segmentation

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:13.285683Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 21a45222-1b19-4089-8807-27629ba60899 · outbound

This paper cites Pick: Predict and mask for semi-supervised medical image segmentation.

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Pick: Predict and mask for semi-supervised medical image segmentation

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:13.277341Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation efb4a775-c4f4-48d5-8b38-516b21da54c7 · outbound

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

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation U-net: Convolutional networks for biomedical image segmentation

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:13.268781Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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