CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation | Paper Citation Record

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:58:05.179247Z

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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

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

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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

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

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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

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

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:58:05.063319Z

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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

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

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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

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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

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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

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

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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

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

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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

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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

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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

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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

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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

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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

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

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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

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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

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

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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

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

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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

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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

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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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

Reference 45

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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

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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

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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

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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

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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

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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

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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 2026-08-08T06:32:00.761636+00:00.

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 2026-08-08T06:32:00.761636+00:00.

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 2026-08-08T06:32:00.761636+00:00.

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.

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

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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 2026-08-08T06:32:00.761636+00:00.

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

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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 2026-08-08T06:32:00.761636+00:00.

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