8.6.4.10.1 Semi-Supervised Medical Image Segmentation

Shi, Y.H.[Ying-Huan], Zhang, J.[Jian], Ling, T.[Tong], Lu, J.W.[Ji-Wen], Zheng, Y.F.[Ye-Feng], Yu, Q.[Qian], Qi, L.[Lei], Gao, Y.[Yang],
Inconsistency-Aware Uncertainty Estimation for Semi-Supervised Medical Image Segmentation,
MedImg(41), No. 3, March 2022, pp. 608-620.
IEEE DOI 2203
Uncertainty, Image segmentation, Estimation, Training, Biomedical imaging,Computational modeling, Task analysis, conservative-radical networks BibRef

Cao, L.Y.[Lu-Yang], Li, J.W.[Jian-Wei], Shi, Y.H.[Ying-Huan],
Background Matters: A Cross-View Bidirectional Modeling Framework for Semi-Supervised Medical Image Segmentation,
IP(34), 2025, pp. 4092-4107.
IEEE DOI Code:
WWW Link. 2507
Predictive models, Image segmentation, Data models, Biomedical imaging, Optimization, Labeling, Training, cross-view bidirectional model BibRef

Wang, Y.[You], Li, Z.K.[Ze-Kun], Qi, L.[Lei], Yu, Q.[Qian], Shi, Y.H.[Ying-Huan], Gao, Y.[Yang],
Balancing Multi-Target Semi-Supervised Medical Image Segmentation with Collaborative Generalist and Specialists,
MedImg(44), No. 7, July 2025, pp. 3025-3037.
IEEE DOI Code:
WWW Link. 2507
Image segmentation, Biomedical imaging, Training, Head, Collaboration, Uncertainty, Heart, Magnetic resonance imaging, multi-target segmentation BibRef

Ma, Q.H.[Qing-He], Zhang, J.[Jian], Qi, L.[Lei], Yu, Q.[Qian], Shi, Y.H.[Ying-Huan], Gao, Y.[Yang],
Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation,
CVPR24(11642-11651)
IEEE DOI Code:
WWW Link. 2410
Training, Image segmentation, Codes, Annotations, Merging, Mixed domain BibRef

Chen, J.K.[Jing-Kun], Zhang, J.G.[Jian-Guo], Debattista, K.[Kurt], Han, J.G.[Jun-Gong],
Semi-Supervised Unpaired Medical Image Segmentation Through Task-Affinity Consistency,
MedImg(42), No. 3, March 2023, pp. 594-605.
IEEE DOI 2303
Image segmentation, Task analysis, Feature extraction, Training, Semisupervised learning, Medical diagnostic imaging, consistency BibRef

Wu, F.P.[Fu-Ping], Zhuang, X.H.[Xia-Hai],
Minimizing Estimated Risks on Unlabeled Data: A New Formulation for Semi-Supervised Medical Image Segmentation,
PAMI(45), No. 5, May 2023, pp. 6021-6036.
IEEE DOI 2304
Image segmentation, Training, Biomedical imaging, Task analysis, Data models, Minimization, Risk management, Semi-supervised learning BibRef

Gu, R.[Ran], Zhang, J.Y.[Jing-Yang], Wang, G.[Guotai], Lei, W.H.[Wen-Hui], Song, T.[Tao], Zhang, X.F.[Xiao-Fan], Li, K.[Kang], Zhang, S.T.[Shao-Ting],
Contrastive Semi-Supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical Structures,
MedImg(42), No. 1, January 2023, pp. 245-256.
IEEE DOI 2301
Image segmentation, Annotations, Adaptation models, Training, Biomedical imaging, Anatomical structure, Task analysis, contrastive learning BibRef

Lei, T.[Tao], Zhang, D.[Dong], Du, X.G.[Xiao-Gang], Wang, X.[Xuan], Wan, Y.[Yong], Nandi, A.K.[Asoke K.],
Semi-Supervised Medical Image Segmentation Using Adversarial Consistency Learning and Dynamic Convolution Network,
MedImg(42), No. 5, May 2023, pp. 1265-1277.
IEEE DOI 2305
Image segmentation, Training, Data models, Perturbation methods, Medical diagnostic imaging, Convolution, adversarial learning BibRef

Wicaksana, J.[Jeffry], Yan, Z.Q.[Zeng-Qiang], Zhang, D.[Dong], Huang, X.J.[Xi-Jie], Wu, H.M.[Hui-Min], Yang, X.[Xin], Cheng, K.T.[Kwang-Ting],
FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation,
MedImg(42), No. 7, July 2023, pp. 1955-1968.
IEEE DOI 2307
Image segmentation, Data models, Biomedical imaging, Training, Federated learning, Lesions, Adaptation models, Federated learning, adaptive weight aggregation BibRef

Xu, C.C.[Chen-Chu], Zhang, T.[Tong], Zhang, D.[Dong], Zhang, D.W.[Ding-Wen], Han, J.W.[Jun-Wei],
Deep Generative Adversarial Reinforcement Learning for Semi-Supervised Segmentation of Low-Contrast and Small Objects in Medical Images,
MedImg(43), No. 9, September 2024, pp. 3072-3084.
IEEE DOI 2409
Image segmentation, Task analysis, Biomedical imaging, Generative adversarial networks, Optimization, Training, generative adversarial networks (GANs) BibRef

Liu, S.[Shidi], Liu, C.P.[Chun-Ping], Ji, Y.[Yi], Li, Y.[Ying],
Regional Consistency for Semi-Supervised Segmentation of 3D Medical Images,
SPLetters(30), 2023, pp. 1307-1311.
IEEE DOI 2310
BibRef

Tang, C.[Cheng], Zeng, X.Y.[Xin-Yi], Zhou, L.P.[Lu-Ping], Zhou, Q.Z.[Qi-Zheng], Wang, P.[Peng], Wu, X.[Xi], Ren, H.P.[Hong-Ping], Zhou, J.[Jiliu], Wang, Y.[Yan],
Semi-supervised medical image segmentation via hard positives oriented contrastive learning,
PR(146), 2024, pp. 110020.
Elsevier DOI Code:
WWW Link. 2311
Hard positives, Contrastive learning, Semi-supervised learning, Medical image segmentation BibRef

He, A.[Along], Li, T.[Tao], Yan, J.C.[Jun-Cheng], Wang, K.[Kai], Fu, H.Z.[Hua-Zhu],
Bilateral Supervision Network for Semi-Supervised Medical Image Segmentation,
MedImg(43), No. 5, May 2024, pp. 1715-1726.
IEEE DOI 2405
Image segmentation, Training, Data models, Adversarial machine learning, Task analysis, Uncertainty, medical image segmentation BibRef

Zhu, Y.Z.[Ya-Zhou], Cheng, Z.M.[Zi-Ming], Wang, S.D.[Shi-Dong], Zhang, H.F.[Hao-Feng],
Learning De-biased prototypes for Few-shot Medical Image Segmentation,
PRL(183), 2024, pp. 71-77.
Elsevier DOI Code:
WWW Link. 2406
Few-shot learning, Medical image segmentation, De-biased prototypes, Learnable threshold BibRef

Zhou, Y.[Yi], He, X.D.[Xiao-Dong], Huang, L.[Lei], Liu, L.[Li], Zhu, F.[Fan], Cui, S.S.[Shan-Shan], Shao, L.[Ling],
Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images,
CVPR19(2074-2083).
IEEE DOI 2002
BibRef

Huang, K.W.[Kai-Wen], Zhou, T.[Tao], Fu, H.Z.[Hua-Zhu], Zhang, Y.Z.[Yi-Zhe], Zhou, Y.[Yi], Wu, X.J.[Xiao-Jun],
Uncertainty-Aware Cross-Training for Semi-Supervised Medical Image Segmentation,
IP(34), 2025, pp. 5543-5556.
IEEE DOI Code:
WWW Link. 2509
Image segmentation, Uncertainty, Data models, Reliability, Training, Representation learning, Accuracy, Perturbation methods, cross-training BibRef

Gu, Y.Q.[Yun-Qi], Zhou, T.[Tao], Zhang, Y.Z.[Yi-Zhe], Zhou, Y.[Yi], He, K.[Kelei], Gong, C.[Chen], Fu, H.Z.[Hua-Zhu],
Dual-scale enhanced and cross-generative consistency learning for semi-supervised medical image segmentation,
PR(158), 2025, pp. 110962.
Elsevier DOI Code:
WWW Link. 2411
Medical image segmentation, Semi-supervised learning, Scale-enhanced consistency, Cross-generative consistency BibRef

Zhou, T.[Tao], Zhou, Y.[Yi], Li, G.Y.[Guang-Yu], Chen, G.[Geng], Shen, J.B.[Jian-Bing],
Uncertainty-Aware Hierarchical Aggregation Network for Medical Image Segmentation,
CirSysVideo(34), No. 8, August 2024, pp. 7440-7453.
IEEE DOI Code:
WWW Link. 2408
Image segmentation, Feature extraction, Biomedical imaging, Semantics, Fuses, Medical diagnostic imaging, Lesions, scale aggregation module BibRef

Cheng, Z.M.[Zi-Ming], Wang, S.D.[Shi-Dong], Xin, T.[Tong], Zhou, T.[Tao], Zhang, H.F.[Hao-Feng], Shao, L.[Ling],
Few-Shot Medical Image Segmentation via Generating Multiple Representative Descriptors,
MedImg(43), No. 6, June 2024, pp. 2202-2214.
IEEE DOI 2406
Image segmentation, Biomedical imaging, Prototypes, Task analysis, Training, Semantic segmentation, Feature extraction, imbalance alleviation BibRef

Cheng, Z.M.[Zi-Ming], Wang, S.D.[Shi-Dong], Long, Y.[Yang], Zhou, T.[Tao], Zhang, H.F.[Hao-Feng], Shao, L.[Ling],
Dual Interspersion and Flexible Deployment for Few-Shot Medical Image Segmentation,
MedImg(44), No. 6, June 2025, pp. 2732-2744.
IEEE DOI Code:
WWW Link. 2506
Prototypes, Medical diagnostic imaging, Predictive models, Training, Mathematical models, Visualization, flexible deployment BibRef

Zhu, Y.Z.[Ya-Zhou], Wang, S.D.[Shi-Dong], Zhou, T.[Tao], Li, Z.C.[Ze-Chao], Zhang, H.F.[Hao-Feng], Shao, L.[Ling],
Cross-Domain Few-Shot Medical Image Segmentation via Dynamic Semantic Matching,
IP(34), 2025, pp. 6669-6682.
IEEE DOI Code:
WWW Link. 2511
Semantics, Image segmentation, Biomedical imaging, Feature extraction, Few shot learning, Adaptation models, dynamic semantic matching BibRef

Wang, K.[Kun], Zhang, X.H.[Xiao-Hong], Zhang, X.B.[Xiang-Bo], Lu, Y.T.[Yu-Ting], Huang, S.[Sheng], Yang, D.[Dan],
EANet: Iterative edge attention network for medical image segmentation,
PR(127), 2022, pp. 108636.
Elsevier DOI 2205
Medical image segmentation, Dynamic scale-aware context, Edge attention preservation, Multi-level pairwise regression, Computer-aided diagnosis (CAD) BibRef

Zhao, J.Y.[Jun-Yong], Sun, L.[Liang], Fan, D.W.[Ding-Wei], Wang, K.[Kun], Si, H.P.[Hai-Peng], Fu, H.Z.[Hua-Zhu], Zhang, D.Q.[Dao-Qiang],
Uncertainty-Driven Edge Prompt Generation Network for Medical Image Segmentation,
MedImg(44), No. 10, October 2025, pp. 3950-3961.
IEEE DOI 2511
Image segmentation, Biomedical imaging, Image edge detection, Uncertainty, Reliability, Accuracy, Adaptation models, Estimation, segment anything model BibRef

Huang, K.W.[Kai-Wen], Zhou, T.[Tao], Fu, H.Z.[Hua-Zhu], Zhang, Y.Z.[Yi-Zhe], Zhou, Y.[Yi], Gong, C.[Chen], Liang, D.[Dong],
Learnable Prompting SAM-Induced Knowledge Distillation for Semi-Supervised Medical Image Segmentation,
MedImg(44), No. 5, May 2025, pp. 2295-2306.
IEEE DOI Code:
WWW Link. 2505
Image segmentation, Biomedical imaging, Training, Data models, Decoding, Feature extraction, Adaptation models, Accuracy, knowledge distillation BibRef

Ma, Y.X.[Yu-Xi], Wang, J.C.[Jia-Cheng], Yang, J.[Jing], Wang, L.S.[Lian-Sheng],
Model-Heterogeneous Semi-Supervised Federated Learning for Medical Image Segmentation,
MedImg(43), No. 5, May 2024, pp. 1804-1815.
IEEE DOI 2405
Training, Data models, Federated learning, Semisupervised learning, Annotations, Servers, Predictive models, Federated learning, semi-supervised learning BibRef

Wu, L.S.[Lin-Shan], Fang, L.Y.[Le-Yuan], He, X.X.[Xing-Xin], He, M.[Min], Ma, J.Y.[Jia-Yi], Zhong, Z.[Zhun],
Querying Labeled for Unlabeled: Cross-Image Semantic Consistency Guided Semi-Supervised Semantic Segmentation,
PAMI(45), No. 7, July 2023, pp. 8827-8844.
IEEE DOI 2306
Semantics, Semantic segmentation, Reliability, Training, Task analysis, Annotations, Deep learning, semi-supervised learning BibRef

Dang, B.[Bo], Li, Y.S.[Yan-Sheng], Zhang, Y.J.[Yong-Jun], Ma, J.Y.[Jia-Yi],
Progressive Learning With Cross-Window Consistency for Semi-Supervised Semantic Segmentation,
IP(33), 2024, pp. 5219-5231.
IEEE DOI Code:
HTML Version. 2410
Semantic segmentation, Semantics, Data models, Pipelines, Visualization, Remote sensing, Medical diagnostic imaging, pseudo-label supervision BibRef

Chen, Z.J.[Ze-Jian], Zhuo, W.[Wei], Wang, T.F.[Tian-Fu], Cheng, J.[Jun], Xue, W.F.[Wu-Feng], Ni, D.[Dong],
Semi-Supervised Representation Learning for Segmentation on Medical Volumes and Sequences,
MedImg(42), No. 12, December 2023, pp. 3972-3986.
IEEE DOI Code:
WWW Link. 2312
BibRef

Miao, J.Z.[Ju-Zheng], Zhou, S.P.[Si-Ping], Zhou, G.Q.[Guang-Quan], Wang, K.N.[Kai-Ni], Yang, M.[Meng], Zhou, S.[Shoujun], Chen, Y.[Yang],
SC-SSL: Self-Correcting Collaborative and Contrastive Co-Training Model for Semi-Supervised Medical Image Segmentation,
MedImg(43), No. 4, April 2024, pp. 1347-1364.
IEEE DOI 2404
Image segmentation, Biomedical imaging, Reliability, Task analysis, Training, Semisupervised learning, Semantics, Self-correcting, structure constraint BibRef

Zhang, F.[Fan], Liu, H.Y.[Hui-Ying], Wang, J.J.[Jin-Jiang], Lyu, J.[Jun], Cai, Q.[Qing], Li, H.F.[Hua-Feng], Dong, J.Y.[Jun-Yu], Zhang, D.[David],
Cross Co-Teaching for Semi-Supervised Medical Image Segmentation,
PR(152), 2024, pp. 110426.
Elsevier DOI 2405
Semi-supervised medical image segmentation, Signed distance function, Interactive lateral fusion mechanism BibRef

Yang, Y.[Yuan], Zhang, L.[Lin], Ren, L.[Lei],
Semi-supervised medical image segmentation via cross teaching between MobileNet and MobileViT,
IVC(150), 2024, pp. 105196.
Elsevier DOI 2409
Segmentation, Semi-supervised learning, MobileViT, Cross teaching BibRef

Zhao, Z.D.[Zhong-Da], Wang, H.Y.[Hai-Yan], Lei, T.[Tao], Wang, X.[Xuan], Shen, X.H.[Xiao-Hong], Yao, H.Y.[Hai-Yang],
Balanced feature fusion collaborative training for semi-supervised medical image segmentation,
PR(157), 2025, pp. 110856.
Elsevier DOI 2409
Medical image segmentation, Semi-supervised learning, Collaborative training BibRef

Wang, Y.C.[Yong-Chao], Xiao, B.[Bin], Bi, X.L.[Xiu-Li], Li, W.S.[Wei-Sheng], Gao, X.B.[Xin-Bo],
Boundary-Aware Prototype in Semi-Supervised Medical Image Segmentation,
IP(33), 2024, pp. 5456-5467.
IEEE DOI 2410
BibRef
Earlier:
MCF: Mutual Correction Framework for Semi-Supervised Medical Image Segmentation,
CVPR23(15651-15660)
IEEE DOI 2309
Prototypes, Training, Data models, Biomedical imaging, Feature extraction, Estimation, Accuracy, Semi-supervised learning, prototype-based segmentation BibRef

Gai, D.[Di], Wu, Y.X.[Yu-Xuan], Xiao, Y.S.[Yu-Song], Geng, Y.H.[Yu-Han], Cao, L.[Lei], Xiong, X.[Xin], Zhong, A.Q.[An-Qi],
Semi-supervised contextual cognitive augmentation-based cross-teaching network for multiclass medical image segmentation,
IET-IPR(18), No. 13, 2024, pp. 3989-4004.
DOI Link 2411
image processing, medical image processing BibRef

Chen, Y.Z.[Yun-Zhu], Liu, Y.[Yang], Lu, M.[Manti], Fu, L.[Liyao], Yang, F.[Feng],
Multi-consistency for semi-supervised medical image segmentation via diffusion models,
PR(161), 2025, pp. 111216.
Elsevier DOI Code:
WWW Link. 2502
Medical image segmentation, Diffusion models, Semi-supervised learning BibRef

Wu, Q.H.[Qian-Hao], Jiang, X.X.[Xi-Xi], Zhang, D.[Dong], Feng, Y.F.[Yi-Fei], Tang, J.H.[Jin-Hui],
Cross-Set Data Augmentation for Semi-Supervised Medical Image Segmentation,
IVC(154), 2025, pp. 105407.
Elsevier DOI 2502
Semi-supervised learning, Medical image segmentation, Cross-set data augmentation, Distribution alignment BibRef

Wang, J.H.[Jia-Hui], Ruan, D.S.[Dong-Sheng], Li, Y.[Yang], Wang, Z.F.[Ze-Feng], Wu, Y.Q.[Yong-Quan], Tan, T.[Tao], Yang, G.[Guang], Jiang, M.F.[Ming-Feng],
Data augmentation strategies for semi-supervised medical image segmentation,
PR(159), 2025, pp. 111116.
Elsevier DOI Code:
WWW Link. 2412
Semi-supervised segmentation, Cropping and stitching, Laplace pyramid fusion, Mutual consistency BibRef

Yuan, Y.C.[Yu-Chen], Wang, X.[Xi], Yang, X.[Xikai], Heng, P.A.[Pheng-Ann],
Effective Semi-Supervised Medical Image Segmentation with Probabilistic Representations and Prototype Learning,
MedImg(44), No. 3, March 2025, pp. 1181-1193.
IEEE DOI Code:
WWW Link. 2503
Uncertainty, Probabilistic logic, Prototypes, Data models, Image segmentation, Predictive models, Noise, Estimation, distribution prototype BibRef

He, Y.P.[Yuan-Peng], Li, L.J.[Li-Jian], Zhan, T.X.[Tian-Xiang], Pun, C.M.[Chi-Man], Jiao, W.[Wenpin], Jin, Z.[Zhi],
Co-evidential fusion with information volume for semi-supervised medical image segmentation,
PR(166), 2025, pp. 111639.
Elsevier DOI 2505
Semi-supervised image segmentation, Co-Evidential fusion, Information volume BibRef

Wang, C.S.[Chun-Shi], Xiong, C.[Chuan], Zhao, B.[Bin], Ding, S.X.[Shu-Xue],
CycleMatch: Cyclic pseudo-labeling distillation in semi-supervised medical image segmentation,
PRL(193), 2025, pp. 135-141.
Elsevier DOI 2505
Semi-supervised learning, Self-knowledge distillation, Medical image segmentation BibRef

Zhang, H.K.[Huai-Kun], Ma, P.[Pei], Liu, J.Z.[Ji-Zhao], Lian, J.[Jing], Ma, Y.[Yide],
Prototype-augmented mean teacher for robust semi-supervised medical image segmentation,
PR(166), 2025, pp. 111722.
Elsevier DOI 2505
Medical image segmentation, Semi-supervised learning, Prototype, Mean teacher BibRef

Sun, J.[Junmei], Wang, M.[Meixi], Zhao, J.X.[Jian-Xiang], Yang, D.[Defu], Bai, H.[Huang], Li, X.M.[Xiu-Mei],
Dual-Region Consistency Learning With Contrastive Refinement for Semi-Supervised Medical Image Segmentation,
IJIST(35), No. 3, 2025, pp. e70091.
DOI Link 2506
contrastive learning, mean-teacher, medical image segmentation, semi-supervised learning BibRef

Yang, Y.[Yang], Zhuang, J.X.[Jia-Xin], Sun, G.Y.[Guo-Ying], Wang, R.X.[Rui-Xuan], Su, J.[Jingyong],
Boundary-Guided Contrastive Learning for Semi-Supervised Medical Image Segmentation,
MedImg(44), No. 7, July 2025, pp. 2973-2988.
IEEE DOI Code:
WWW Link. 2507
Image segmentation, Contrastive learning, Semisupervised learning, Training, Perturbation methods, mean teacher network BibRef

Qin, G.[Geng], Liu, H.[Huan], Zhang, X.[Xueyu], Li, W.[Wei], Guo, Y.X.[Yu-Xing], Guo, C.B.[Chuan-Bin],
Semi-Supervised Medical Hyperspectral Image Segmentation Using Adversarial Consistency Constraint Learning and Cross Indication Network,
IP(34), 2025, pp. 5414-5428.
IEEE DOI Code:
WWW Link. 2509
Image segmentation, Hyperspectral imaging, Medical diagnostic imaging, Training, Semisupervised learning, adversarial consistency learning BibRef

Zeng, Q.J.[Qing-Jie], Xie, Y.T.[Yu-Tong], Lu, Z.[Zilin], Lu, M.K.[Meng-Kang], Zhang, J.F.[Jing-Feng], Xia, Y.[Yong],
Consistency-Guided Differential Decoding for Enhancing Semi-Supervised Medical Image Segmentation,
MedImg(44), No. 1, January 2025, pp. 44-56.
IEEE DOI Code:
WWW Link. 2501
Decoding, Image segmentation, Training, Semisupervised learning, Task analysis, Medical diagnostic imaging, Labeling, differential feature learning BibRef

Zeng, Q.J.[Qing-Jie], Xie, Y.T.[Yu-Tong], Lu, Z.[Zilin], Lu, M.K.[Meng-Kang], Wu, Y.C.[Yi-Cheng], Xia, Y.[Yong],
Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image Segmentation,
MedImg(44), No. 7, July 2025, pp. 2948-2959.
IEEE DOI Code:
WWW Link. 2507
Data models, Training, Image segmentation, Biomedical imaging, Head, Spleen, Data mining, Annotations, Adaptation models, unified learning BibRef

Zeng, Q.J.[Qing-Jie], Lu, Z.L.[Zi-Lin], Xie, Y.T.[Yu-Tong], Xia, Y.[Yong],
PICK: Predict and Mask for Semi-supervised Medical Image Segmentation,
IJCV(133), No. 6, June 2025, pp. Psges 3296-3311.
Springer DOI 2505
BibRef

Liu, Y.Y.[Yu-Yuan], Tian, Y.[Yu], Wang, C.[Chong], Chen, Y.H.[Yuan-Hong], Liu, F.B.[Feng-Bei], Belagiannis, V.[Vasileios], Carneiro, G.[Gustavo],
Translation Consistent Semi-Supervised Segmentation for 3D Medical Images,
MedImg(44), No. 2, February 2025, pp. 952-968.
IEEE DOI Code:
WWW Link. 2502
Training, Image segmentation, Perturbation methods, Data models, Computational modeling, Predictive models, Benchmark testing, semi-supervised learning BibRef

Du, G.X.[Guang-Xing], Wu, R.[Rui], Xu, J.M.[Jin-Ming], Zeng, X.[Xiang], Xiong, S.W.[Sheng-Wu],
Dual Diversity and Pseudo-Label Correction Learning for Semi-Supervised Medical Image Segmentation,
IJIST(35), No. 5, 2025, pp. e70194.
DOI Link Code:
WWW Link. 2509
co-training, medical image segmentation, pseudo-labeling, semi-supervised learning BibRef

Zeng, X.[Xiang], Xiong, S.W.[Sheng-Wu], Xu, J.M.[Jin-Ming], Du, G.X.[Guang-Xing], Rong, Y.[Yi],
Uncertainty Co-Estimator for Improving Semi-Supervised Medical Image Segmentation,
MedImg(44), No. 9, September 2025, pp. 3870-3881.
IEEE DOI Code:
WWW Link. 2510
Uncertainty, Image segmentation, Predictive models, Estimation, Training, Perturbation methods, Artificial intelligence, Noise, uncertainty estimation BibRef

Guo, X.R.[Xiu-Rui], Lu, Y.[Yu], Zuo, Y.[Yang], Wang, J.X.[Jun-Xia], Zheng, Y.J.[Yuan-Jie],
IEDC-Net: Internal-External Dual Correction Mechanisms for Semi-Supervised Medical Image Segmentation,
IJIST(35), No. 5, 2025, pp. e70163.
DOI Link 2509
medical image segmentation, multi-model architecture, mutual consistency, semi-supervised learning, uncertainty estimation BibRef

Yu, B.Q.[Bao-Qi], Liu, Y.[Yong],
Caudo-Diff: Diffusion calibrated pseudo labels in guided latent space for minimally supervised medical segmentation,
PR(170), 2026, pp. 112007.
Elsevier DOI 2509
Diffusion model, Medical image segmentation, Minimally supervised learning, Pseudo label BibRef

Huang, Y.[Yigeng], Li, S.[Suwen], Guo, Z.[Zheng], Mei, Q.[Qiao], Han, Z.[Zhuo], Wang, X.J.[Xiu-Juan], Wang, H.Q.[Huan-Qin],
Boundary feature alignment for semi-supervised medical image segmentation,
PR(170), 2026, pp. 111946.
Elsevier DOI Code:
WWW Link. 2509
Semi-supervised medical image segmentation, Boundary learning, Feature alignment BibRef

Li, S.[Shiman], Zhao, J.[Jiayue], Hao, Y.[Yi], Zhang, C.X.[Chen-Xi], Song, Z.J.[Zhi-Jian],
Beyond the Distribution: Perturbation Toward Domain Distribution Boundary for Strengthening Generalizable Semi-Supervised Segmentation,
SPLetters(32), 2025, pp. 3535-3539.
IEEE DOI 2510
Perturbation methods, Biomedical imaging, Computational modeling, Data models, Training, Magnetic resonance imaging, boundary perturbation BibRef

Long, J.W.[Jian-Wu], Li, Y.W.[Yu-Wei],
MaFMatch: Semi-Supervised Medical Image Segmentation Network Based on Mixed Data and Feature Augmentation,
IJIST(35), No. 6, 2025, pp. e70228.
DOI Link Code:
WWW Link. 2510
consistent regularization, convolution neural network, medical image segmentation, weak-to-strong consistency BibRef

Lv, Z.[Zihe], Wu, Z.[Zhengda], Zhu, J.H.[Jing-Hua],
Clustering-guided contrastive prototype learning: Towards semi-supervised medical image segmentation,
PR(171), 2026, pp. 112321.
Elsevier DOI Code:
WWW Link. 2511
Medical image segmentation, Semi-supervised learning, Prototype learning, Contrastive learning, Mask transformer BibRef

Zheng, B.[Bin], Zhao, W.[Wenyi], Liu, W.T.[Wen-Tao], He, Z.Y.[Zi-Yang], Qin, C.B.[Chuan-Bo], Yang, H.[Huihua],
Semi-supervised medical image segmentation via pseudo-labeling refinement and dual-adaptive adjustment schemes,
PR(171), 2026, pp. 112310.
Elsevier DOI 2511
Semi-supervised segmentation, Pseudo-labeling refinement, Harmonic mean, Adaptive adjustment BibRef

Li, S.[Shumeng], Qi, L.[Lei], Yu, Q.[Qian], Huo, J.[Jing], Shi, Y.H.[Ying-Huan], Gao, Y.[Yang],
Stitching, Fine-Tuning, and Re-Training: A SAM-Enabled Framework for Semi-Supervised 3D Medical Image Segmentation,
MedImg(44), No. 10, October 2025, pp. 3909-3923.
IEEE DOI Code:
WWW Link. 2511
Biomedical imaging, Image segmentation, Annotations, Foundation models, Computational modeling, Solid modeling, SAM-enabled BibRef

Ma, Q.[Qinghe], Zhang, J.[Jian], Li, Z.K.[Ze-Kun], Qi, L.[Lei], Yu, Q.[Qian], Shi, Y.H.[Ying-Huan],
Steady Progress Beats Stagnation: Mutual Aid of Foundation and Conventional Models in Mixed Domain Semi-Supervised Medical Image Segmentation,
CVPR25(5175-5185)
IEEE DOI Code:
WWW Link. 2508
Training, Image segmentation, Visualization, Foundation models, Reliability, Optimization, Convergence, Biomedical imaging, domain shift BibRef

Hu, M.[Ming], Yin, J.[Jianfu], Ma, Z.Z.[Zhuang-Zhuang], Ma, J.H.[Jian-Heng], Zhu, F.Y.[Fei-Yu], Wu, B.B.[Bing-Bing], Wen, Y.[Ya], Wu, M.[Meng], Hu, C.[Cong], Hu, B.L.[Bing-Liang], Wang, Q.[Quan],
beta-FFT: Nonlinear Interpolation and Differentiated Training Strategies for Semi-Supervised Medical Image Segmentation,
CVPR25(30839-30849)
IEEE DOI Code:
WWW Link. 2508
Training, Interpolation, Image segmentation, Fast Fourier transforms, System performance, Data processing, deep co-training BibRef

Assefa, M.[Maregu], Naseer, M.[Muzammal], Ganapathi, I.I.[Iyyakutti Iyappan], Ali, S.S.[Syed Sadaf], Seghier, M.L.[Mohamed L], Werghi, N.[Naoufel],
DyCON: Dynamic Uncertainty-aware Consistency and Contrastive Learning for Semi-supervised Medical Image Segmentation,
CVPR25(30850-30860)
IEEE DOI 2508
Training, Image segmentation, Visualization, Uncertainty, Accuracy, Contrastive learning, Semisupervised learning, Lesions BibRef

Zhang, Z.[Zheng], Yin, G.C.[Guan-Chun], Zhang, B.[Bo], Liu, W.[Wu], Zhou, X.Z.[Xiu-Zhuang], Wang, W.D.[Wen-Dong],
A Semantic Knowledge Complementarity based Decoupling Framework for Semi-supervised Class-imbalanced Medical Image Segmentation,
CVPR25(25940-25949)
IEEE DOI 2508
Training, Image segmentation, Head, Annotations, Semantics, Semisupervised learning, Data models, Decoding, Synapses, medical image segmentation BibRef

Xu, M.[Minxia], Yang, H.[Han], Song, B.[Bo], Hu, W.[Weida], Miao, J.[Jinshui], Cheng, E.[Erkang],
Cross Image Feature Perturbation with Pseudo Label Fusion for Semi-Supervised Medical Image Segmentation,
WACV25(7337-7347)
IEEE DOI 2505
Solid modeling, Uncertainty, Perturbation methods, Semantic segmentation, Semantics, Information filters, Robustness, Biomedical imaging BibRef

Liu, Q.Y.[Qian-Ying], Henderson, P.[Paul], Gu, X.[Xiao], Dai, H.[Hang], Deligianni, F.[Fani],
Learning Semi-Supervised Medical Image Segmentation from Spatial Registration,
WACV25(6383-6393)
IEEE DOI Code:
WWW Link. 2505
Training, Image segmentation, Computational modeling, Semantics, Transforms, Contrastive learning, Benchmark testing, Data models, transformer BibRef

Gao, N.[Ning], Zhou, S.P.[San-Ping], Wang, L.[Le], Zheng, N.N.[Nan-Ning],
PMT: Progressive Mean Teacher via Exploring Temporal Consistency for Semi-Supervised Medical Image Segmentation,
ECCV24(LXVIII: 144-160).
Springer DOI 2412
BibRef

Zhao, Z.[Zhen], Wang, Z.C.[Zi-Cheng], Wang, L.[Longyue], Yu, D.[Dian], Yuan, Y.X.[Yi-Xuan], Zhou, L.P.[Lu-Ping],
Alternate Diverse Teaching for Semi-supervised Medical Image Segmentation,
ECCV24(V: 227-243).
Springer DOI 2412
BibRef

Liu, Y.F.[Yu-Fan], Wang, Z.Y.[Zi-Yang], Chen, T.X.[Tian-Xiang], Ye, Z.[Zi],
Quadruple-Consistency Vision Transformer for Medical Image Segmentation with Limited Number of Sparse Annotations,
ICIP24(2101-2107)
IEEE DOI Code:
WWW Link. 2411
Training, Measurement, Image segmentation, Annotations, Perturbation methods, Supervised learning, Semi-Supervised Learning BibRef

Bai, Y.H.[Yun-Hao], Chen, D.[Duowen], Li, Q.L.[Qing-Li], Shen, W.[Wei], Wang, Y.[Yan],
Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation,
CVPR23(11514-11524)
IEEE DOI 2309
BibRef

Basak, H.[Hritam], Yin, Z.Z.[Zhao-Zheng],
Pseudo-Label Guided Contrastive Learning for Semi-Supervised Medical Image Segmentation,
CVPR23(19786-19797)
IEEE DOI 2309
BibRef

Miao, J.Z.[Ju-Zheng], Chen, C.[Cheng], Liu, F.[Furui], Wei, H.[Hao], Heng, P.A.[Pheng-Ann],
CauSSL: Causality-Inspired Semi-Supervised Learning for Medical Image Segmentation,
ICCV23(21369-21380)
IEEE DOI Code:
WWW Link. 2401
BibRef

Qiu, M.[Muyang], Zhang, J.[Jian], Qi, L.[Lei], Yu, Q.[Qian], Shi, Y.H.[Ying-Huan], Gao, Y.[Yang],
The Devil Is in the Statistics: Mitigating and Exploiting Statistics Difference for Generalizable Semi-supervised Medical Image Segmentation,
ECCV24(LIV: 74-91).
Springer DOI 2412
BibRef

Qi, W.B.[Wen-Bo], Wu, J.[Jiafei], Chan, S.C.,
Gradient-aware for Class-imbalanced Semi-supervised Medical Image Segmentation,
ECCV24(LV: 473-490).
Springer DOI 2412
BibRef

Chi, H.Y.[Han-Yang], Pang, J.[Jian], Zhang, B.F.[Bing-Feng], Liu, W.F.[Wei-Feng],
Adaptive Bidirectional Displacement for Semi-Supervised Medical Image Segmentation,
CVPR24(4070-4080)
IEEE DOI Code:
WWW Link. 2410
Image segmentation, Adaptation models, Perturbation methods, Source coding, Semantics, Predictive models, Consistency Learning BibRef

Zhou, Y.F.[Yan-Feng], Huang, J.X.[Jia-Xing], Wang, C.L.[Chen-Long], Song, L.[Le], Yang, G.[Ge],
XNet: Wavelet-Based Low and High Frequency Fusion Networks for Fully- and Semi-Supervised Semantic Segmentation of Biomedical Images,
ICCV23(21028-21039)
IEEE DOI Code:
WWW Link. 2401
BibRef

Wang, Z.Y.[Zi-Yang], Ma, C.Y.[Cong-Ying],
Dual-Contrastive Dual-Consistency Dual-Transformer: A Semi-Supervised Approach to Medical Image Segmentation,
NIVT23(870-879)
IEEE DOI Code:
WWW Link. 2401
BibRef

Chai, L.[Lu], Liu, Q.[Qinyuan],
Semi-Supervised Semantic Segmentation of Class-Imbalanced Images: A Hierarchical Self-Attention Generative Adversarial Network,
ICIVC22(398-404)
IEEE DOI 2301
Image segmentation, Image synthesis, Computational modeling, Biological system modeling, Semantics, Pipelines, biomedical images BibRef

Wang, Z.Y.[Zi-Yang], Li, T.Z.[Tian-Ze], Zheng, J.Q.[Jian-Qing], Huang, B.[Baoru],
When CNN Meet with VIT: Towards Semi-supervised Learning for Multi-class Medical Image Semantic Segmentation,
MIA-COVID19D22(424-441).
Springer DOI 2304
BibRef

Zhao, Z.Y.[Zi-Yuan], Zhu, A.D.[An-Dong], Zeng, Z.[Zeng], Veeravalli, B.[Bharadwaj], Guan, C.T.[Cun-Tai],
ACT-NET: Asymmetric Co-Teacher Network for Semi-Supervised Memory-Efficient Medical Image Segmentation,
ICIP22(1426-1430)
IEEE DOI 2211
Knowledge engineering, Image segmentation, Limiting, Computational modeling, Employment, Data models, medical image segmentation BibRef

Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Efficient Semantic Segmentation, Real-Time Segmentation .