Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation | Paper Citation Record

Observation 7241491a-db5c-4e1c-9171-31d59cc130ab · outbound

This paper cites Advanced endoscopy meets molecular diagnosis of cholangiocarcinoma,.

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation Advanced endoscopy meets molecular diagnosis of cholangiocarcinoma,

Reference 1

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Observation 8e9db80f-b505-4ad7-b187-315744204adb · outbound

This paper cites A review of deep learning-based multiple- lesion recognition from medical images: classification, detection and segmentation,.

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation A review of deep learning-based multiple- lesion recognition from medical images: classification, detection and segmentation,

Reference 2

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Observation 4c39da5e-075b-4d8f-9dd3-f4b39ea9bfa8 · outbound

This paper cites Encoder- decoder with atrous separable convolution for semantic image segmen- tation,.

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation Encoder- decoder with atrous separable convolution for semantic image segmen- tation,

Reference 3

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Observation f6cd98aa-cc49-4974-8d16-c3ed15f50f56 · outbound

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

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation Unet++: Redesigning skip connections to exploit multiscale features in image segmentation,

Reference 4

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Observation d011c63c-788b-43db-85f3-58a15aab0f02 · outbound

This paper cites Lvit: language meets vision transformer in medical image segmentation,.

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation Lvit: language meets vision transformer in medical image segmentation,

Reference 5

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Observation b4960f86-4c3e-4f6f-a719-d90e1ea6630f · outbound

This paper cites H2former: An efficient hierarchical hybrid transformer for medical image segmentation,.

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation H2former: An efficient hierarchical hybrid transformer for medical image segmentation,

Reference 6

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Observation 4a1f9d37-141b-4938-8ac4-e6013c7f4fd5 · outbound

This paper cites Uncertainty-aware hierarchical aggregation network for medical image segmentation,.

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation Uncertainty-aware hierarchical aggregation network for medical image segmentation,

Reference 7

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This paper cites Erdunet: An efficient residual double- coding unet for medical image segmentation,.

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation Erdunet: An efficient residual double- coding unet for medical image segmentation,

Reference 8

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Observation 17a090cc-85bd-4f82-aebe-6d68e1282df3 · outbound

This paper cites Hunting sparsity: Density- guided contrastive learning for semi-supervised semantic segmentation,.

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation Hunting sparsity: Density- guided contrastive learning for semi-supervised semantic segmentation,

Reference 9

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This paper cites Augmentation matters: A simple-yet-effective approach to semi-supervised semantic segmentation,.

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation Augmentation matters: A simple-yet-effective approach to semi-supervised semantic segmentation,

Reference 10

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This paper cites Revisiting weak- JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2021 10 to-strong consistency in semi-supervised semantic segmentation,.

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation Revisiting weak- JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2021 10 to-strong consistency in semi-supervised semantic segmentation,

Reference 11

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Observation 3700be6f-2548-4c75-9594-4035a112c5b2 · outbound

This paper cites Corrmatch: Label propagation via correlation matching for semi-supervised semantic segmentation,.

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation Corrmatch: Label propagation via correlation matching for semi-supervised semantic segmentation,

Reference 12

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

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation Fixmatch: Simplifying semi- supervised learning with consistency and confidence,

Reference 13

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This paper cites Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks,.

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks,

Reference 14

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This paper cites Pseudo-labeling and confirmation bias in deep semi-supervised learn- ing,.

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation Pseudo-labeling and confirmation bias in deep semi-supervised learn- ing,

Reference 15

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Observation db8b04d2-9a30-40d7-a2cd-4e729ba90202 · outbound

This paper cites Segment anything in medical images,.

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation Segment anything in medical images,

Reference 16

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Observation e0b9772b-04ed-4a38-8d8b-12c78e6ff2ef · outbound

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

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation Pranet: Parallel reverse attention network for polyp segmentation,

Reference 17

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Observation e5b6ba04-9f84-4277-8cd4-8a829ba5ad7d · outbound

This paper cites Boundary constraint network with cross layer feature integration for polyp segmen- tation,.

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation Boundary constraint network with cross layer feature integration for polyp segmen- tation,

Reference 18

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Observation 5fd4411f-2a5d-47fa-8b36-97658faae56e · outbound

This paper cites Acl-net: semi-supervised polyp segmentation via affinity contrastive learning,.

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation Acl-net: semi-supervised polyp segmentation via affinity contrastive learning,

Reference 19

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This paper cites Polyper: Boundary sensitive polyp segmentation,.

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation Polyper: Boundary sensitive polyp segmentation,

Reference 20

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This paper cites Pseudo labeling methods for semi-supervised semantic segmentation: A review and future perspec- tives,.

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation Pseudo labeling methods for semi-supervised semantic segmentation: A review and future perspec- tives,

Reference 21

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

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation Semi- supervised medical image segmentation using adversarial consistency learning and dynamic convolution network,

Reference 22

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This paper cites Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation.

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation

Reference 23

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Observation f85b94f2-1567-40ba-96d4-927c03c85e88 · outbound

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

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation Pseudo-label guided contrastive learning for semi-supervised medical image segmentation,

Reference 24

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

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation Caussl: Causality- inspired semi-supervised learning for medical image segmentation,

Reference 25

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Observation 773febe9-6e62-4ebd-b73c-accaabfaf217 · outbound

This paper cites Adaptive bidirectional displace- ment for semi-supervised medical image segmentation,.

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation Adaptive bidirectional displace- ment for semi-supervised medical image segmentation,

Reference 26

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This paper cites Revisiting Consistency Regularization for Semi-supervised Change Detection in Remote Sensing Images.

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation Revisiting Consistency Regularization for Semi-supervised Change Detection in Remote Sensing Images

Reference 27

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Observation c87fc99c-8d1d-47f5-8308-d63597ea5db2 · outbound

This paper cites Text2seg: Remote sensing image semantic segmentation via text-guided visual foundation models,.

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation Text2seg: Remote sensing image semantic segmentation via text-guided visual foundation models,

Reference 28

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This paper cites Dynamically updated semi-supervised change detection network combining cross-supervision and screening algorithms,.

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation Dynamically updated semi-supervised change detection network combining cross-supervision and screening algorithms,

Reference 29

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This paper cites Self-training with noisy student improves imagenet classification,.

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation Self-training with noisy student improves imagenet classification,

Reference 30

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Observation bbcddbb0-4802-4c6a-9117-038b8a8b65f7 · outbound

This paper cites Rethinking pre-training and self-training,.

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation Rethinking pre-training and self-training,

Reference 31

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This paper cites Meta pseudo labels,.

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation Meta pseudo labels,

Reference 32

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Observation 5dfc9dd8-984f-4a94-b774-34c1d9904ab9 · outbound

This paper cites Lassl: Label-guided self-training for semi-supervised learning,.

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation Lassl: Label-guided self-training for semi-supervised learning,

Reference 33

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

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation Semi-supervised semantic segmentation with cross pseudo supervision,

Reference 34

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This paper cites Conflict- based cross-view consistency for semi-supervised semantic segmenta- tion,.

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation Conflict- based cross-view consistency for semi-supervised semantic segmenta- tion,

Reference 35

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This paper cites St++: Make self-training work better for semi-supervised semantic segmentation,.

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation St++: Make self-training work better for semi-supervised semantic segmentation,

Reference 36

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This paper cites Towards the uncharted: Density-descending feature perturbation for semi-supervised semantic segmentation,.

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation Towards the uncharted: Density-descending feature perturbation for semi-supervised semantic segmentation,

Reference 37

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Observation dbc802ce-de96-4d1b-9294-cb7f19394b70 · outbound

This paper cites Momentum contrast for unsupervised visual representation learning,.

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation Momentum contrast for unsupervised visual representation learning,

Reference 38

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This paper cites A simple framework for contrastive learning of visual representations,.

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation A simple framework for contrastive learning of visual representations,

Reference 39

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This paper cites Bootstrap your own latent-a new approach to self-supervised learning,.

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation Bootstrap your own latent-a new approach to self-supervised learning,

Reference 40

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Observation 4c16b955-68b0-4560-873c-2bda817ebc0d · outbound

This paper cites Unsupervised learning of visual features by contrasting cluster assign- ments,.

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation Unsupervised learning of visual features by contrasting cluster assign- ments,

Reference 41

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Observation bf575969-278b-4098-bdb4-09d369eb6157 · outbound

This paper cites Barlow twins: Self-supervised learning via redundancy reduction,.

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation Barlow twins: Self-supervised learning via redundancy reduction,

Reference 42

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Observation a4f1d4f9-dd45-4962-9d4c-8c8aee783723 · outbound

This paper cites Supervised contrastive learn- ing,.

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation Supervised contrastive learn- ing,

Reference 43

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Observation e8a0d3b0-9296-4d8c-a8b5-36c26c8fc59c · outbound

This paper cites Pixel contrastive-consistent semi-supervised semantic segmentation,.

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation Pixel contrastive-consistent semi-supervised semantic segmentation,

Reference 44

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Observation 2822e5e2-6a29-460d-9dd7-44c91797e4b4 · outbound

This paper cites C3-semiseg: Contrastive semi-supervised segmentation via cross-set learning and dynamic class-balancing,.

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation C3-semiseg: Contrastive semi-supervised segmentation via cross-set learning and dynamic class-balancing,

Reference 45

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Observation 4c8352b0-2678-437c-bbbb-e00105d9f906 · outbound

This paper cites Semi-supervised semantic segmentation using unreliable pseudo- labels,.

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation Semi-supervised semantic segmentation using unreliable pseudo- labels,

Reference 46

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Observation 03012945-a3e0-42ad-9e2f-ef216289cd92 · outbound

This paper cites Semi-supervised medical image segmentation via hard positives oriented contrastive learning,.

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation Semi-supervised medical image segmentation via hard positives oriented contrastive learning,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:41:47.203689Z

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Observation 9ab50c51-aebd-4780-b372-49993b174a9a · outbound

This paper cites Mean teachers are better role mod- els: Weight-averaged consistency targets improve semi-supervised deep learning results,.

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation Mean teachers are better role mod- els: Weight-averaged consistency targets improve semi-supervised deep learning results,

Reference 48

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Observation 707f58a3-eb5d-4eb1-9ee2-c8d592e8eb4c · outbound

This paper cites Semi- supervised semantic segmentation needs strong, varied perturbations,.

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation Semi- supervised semantic segmentation needs strong, varied perturbations,

Reference 49

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Observation a81244ed-09bb-4a7d-b087-9d4778e3fbbb · outbound

This paper cites Freematch: Self-adaptive thresholding for semi-supervised learning,.

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation Freematch: Self-adaptive thresholding for semi-supervised learning,

Reference 50

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Observation fb9ba068-f4c7-4375-8a16-f993b72914e3 · outbound

This paper cites Deep residual learning for image recognition,.

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation Deep residual learning for image recognition,

Reference 51

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