146 related articles for article (PubMed ID: 38310678)
21. Uncertainty-Guided Voxel-Level Supervised Contrastive Learning for Semi-Supervised Medical Image Segmentation.
Hua Y; Shu X; Wang Z; Zhang L
Int J Neural Syst; 2022 Apr; 32(4):2250016. PubMed ID: 35225168
[TBL] [Abstract][Full Text] [Related]
22. Uncertainty teacher with dense focal loss for semi-supervised medical image segmentation.
Chen J; Fu C; Xie H; Zheng X; Geng R; Sham CW
Comput Biol Med; 2022 Oct; 149():106034. PubMed ID: 36058068
[TBL] [Abstract][Full Text] [Related]
23. A novel multi-atlas segmentation approach under the semi-supervised learning framework: Application to knee cartilage segmentation.
Chadoulos CG; Tsaopoulos DE; Moustakidis S; Tsakiridis NL; Theocharis JB
Comput Methods Programs Biomed; 2022 Dec; 227():107208. PubMed ID: 36384059
[TBL] [Abstract][Full Text] [Related]
24. Consistency and adversarial semi-supervised learning for medical image segmentation.
Tang Y; Wang S; Qu Y; Cui Z; Zhang W
Comput Biol Med; 2023 Jul; 161():107018. PubMed ID: 37216776
[TBL] [Abstract][Full Text] [Related]
25. Multi-task contrastive learning for semi-supervised medical image segmentation with multi-scale uncertainty estimation.
Xing C; Dong H; Xi H; Ma J; Zhu J
Phys Med Biol; 2023 Sep; 68(18):. PubMed ID: 37586383
[No Abstract] [Full Text] [Related]
26. Multi-class motor imagery EEG classification using collaborative representation-based semi-supervised extreme learning machine.
She Q; Zou J; Luo Z; Nguyen T; Li R; Zhang Y
Med Biol Eng Comput; 2020 Sep; 58(9):2119-2130. PubMed ID: 32676841
[TBL] [Abstract][Full Text] [Related]
27. Uncertainty-aware temporal self-learning (UATS): Semi-supervised learning for segmentation of prostate zones and beyond.
Meyer A; Ghosh S; Schindele D; Schostak M; Stober S; Hansen C; Rak M
Artif Intell Med; 2021 Jun; 116():102073. PubMed ID: 34020751
[TBL] [Abstract][Full Text] [Related]
28. Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification.
Marini N; Otálora S; Müller H; Atzori M
Med Image Anal; 2021 Oct; 73():102165. PubMed ID: 34303169
[TBL] [Abstract][Full Text] [Related]
29. Semi-Supervised Medical Image Segmentation Using Adversarial Consistency Learning and Dynamic Convolution Network.
Lei T; Zhang D; Du X; Wang X; Wan Y; Nandi AK
IEEE Trans Med Imaging; 2023 May; 42(5):1265-1277. PubMed ID: 36449588
[TBL] [Abstract][Full Text] [Related]
30. Constantly optimized mean teacher for semi-supervised 3D MRI image segmentation.
Li N; Pan Y; Qiu W; Xiong L; Wang Y; Zhang Y
Med Biol Eng Comput; 2024 Mar; ():. PubMed ID: 38514501
[TBL] [Abstract][Full Text] [Related]
31. Segmentation only uses sparse annotations: Unified weakly and semi-supervised learning in medical images.
Gao F; Hu M; Zhong ME; Feng S; Tian X; Meng X; Ni-Jia-Ti MY; Huang Z; Lv M; Song T; Zhang X; Zou X; Wu X
Med Image Anal; 2022 Aug; 80():102515. PubMed ID: 35780593
[TBL] [Abstract][Full Text] [Related]
32. Discriminative error prediction network for semi-supervised colon gland segmentation.
Zhang Z; Tian C; Bai HX; Jiao Z; Tian X
Med Image Anal; 2022 Jul; 79():102458. PubMed ID: 35500497
[TBL] [Abstract][Full Text] [Related]
33. Correspondence-based Generative Bayesian Deep Learning for semi-supervised volumetric medical image segmentation.
Zhao Y; Zhou X; Pan T; Gao S; Zhang W
Comput Med Imaging Graph; 2024 Apr; 113():102352. PubMed ID: 38341947
[TBL] [Abstract][Full Text] [Related]
34. Multimodal Contrastive Supervised Learning to Classify Clinical Significance MRI Regions on Prostate Cancer.
Gutierrez Y; Arevalo J; Martinez F
Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():1682-1685. PubMed ID: 36086464
[TBL] [Abstract][Full Text] [Related]
35. Joint Semi-supervised and Active Learning for Segmentation of Gigapixel Pathology Images with Cost-Effective Labeling.
Lai Z; Wang C; Oliveira LC; Dugger BN; Cheung SC; Chuah CN
IEEE Int Conf Comput Vis Workshops; 2021 Oct; 2021():591-600. PubMed ID: 35372752
[TBL] [Abstract][Full Text] [Related]
36. Semi-supervised liver segmentation based on local regions self-supervision.
Lou Q; Lin T; Qian Y; Lu F
Med Phys; 2024 May; 51(5):3455-3463. PubMed ID: 38108537
[TBL] [Abstract][Full Text] [Related]
37. Semi-Supervised Medical Image Segmentation Based on Deep Consistent Collaborative Learning.
Zhao X; Wang W
J Imaging; 2024 May; 10(5):. PubMed ID: 38786572
[TBL] [Abstract][Full Text] [Related]
38. MTAN: A semi-supervised learning model for kidney tumor segmentation.
Sun P; Yang S; Guan H; Mo T; Yu B; Chen Z
J Xray Sci Technol; 2023; 31(6):1295-1313. PubMed ID: 37718833
[TBL] [Abstract][Full Text] [Related]
39. PolypMixNet: Enhancing semi-supervised polyp segmentation with polyp-aware augmentation.
Jia X; Shen Y; Yang J; Song R; Zhang W; Meng MQ; Liao JC; Xing L
Comput Biol Med; 2024 Mar; 170():108006. PubMed ID: 38325216
[TBL] [Abstract][Full Text] [Related]
40. An Implicit-Explicit Prototypical Alignment Framework for Semi-Supervised Medical Image Segmentation.
Tian C; Zhang Z; Gao X; Zhou H; Ran R; Jiao Z
IEEE J Biomed Health Inform; 2024 Feb; 28(2):929-940. PubMed ID: 37930923
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
