228 related articles for article (PubMed ID: 37313824)
1. [A region-level contrastive learning-based deep model for glomerular ultrastructure segmentation on electron microscope images].
Lin G; Zhang Z; Lu Y; Geng J; Zhou Z; Lu L; Cao L
Nan Fang Yi Ke Da Xue Xue Bao; 2023 May; 43(5):815-824. PubMed ID: 37313824
[TBL] [Abstract][Full Text] [Related]
2. Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation.
Chaitanya K; Erdil E; Karani N; Konukoglu E
Med Image Anal; 2023 Jul; 87():102792. PubMed ID: 37054649
[TBL] [Abstract][Full Text] [Related]
3. Reducing annotation burden in MR: A novel MR-contrast guided contrastive learning approach for image segmentation.
Umapathy L; Brown T; Mushtaq R; Greenhill M; Lu J; Martin D; Altbach M; Bilgin A
Med Phys; 2024 Apr; 51(4):2707-2720. PubMed ID: 37956263
[TBL] [Abstract][Full Text] [Related]
4. GCLR: A self-supervised representation learning pretext task for glomerular filtration barrier segmentation in TEM images.
Lin G; Zhang Z; Long K; Zhang Y; Lu Y; Geng J; Zhou Z; Feng Q; Lu L; Cao L
Artif Intell Med; 2023 Dec; 146():102720. PubMed ID: 38042604
[TBL] [Abstract][Full Text] [Related]
5. Boundary-aware information maximization for self-supervised medical image segmentation.
Peng J; Wang P; Pedersoli M; Desrosiers C
Med Image Anal; 2024 May; 94():103150. PubMed ID: 38574545
[TBL] [Abstract][Full Text] [Related]
6. Self-supervised contrastive learning with random walks for medical image segmentation with limited annotations.
Fischer M; Hepp T; Gatidis S; Yang B
Comput Med Imaging Graph; 2023 Mar; 104():102174. PubMed ID: 36640485
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Semi-supervised medical image segmentation via a tripled-uncertainty guided mean teacher model with contrastive learning.
Wang K; Zhan B; Zu C; Wu X; Zhou J; Zhou L; Wang Y
Med Image Anal; 2022 Jul; 79():102447. PubMed ID: 35509136
[TBL] [Abstract][Full Text] [Related]
9. Unsupervised Representation Learning for Tissue Segmentation in Histopathological Images: From Global to Local Contrast.
Gao Z; Jia C; Li Y; Zhang X; Hong B; Wu J; Gong T; Wang C; Meng D; Zheng Y; Li C
IEEE Trans Med Imaging; 2022 Dec; 41(12):3611-3623. PubMed ID: 35839184
[TBL] [Abstract][Full Text] [Related]
10. Two-Stage Self-Supervised Contrastive Learning Aided Transformer for Real-Time Medical Image Segmentation.
Qayyum A; Razzak I; Mazher M; Khan T; Ding W; Niederer S
IEEE J Biomed Health Inform; 2023 Dec; PP():. PubMed ID: 38090821
[TBL] [Abstract][Full Text] [Related]
11. TSSK-Net: Weakly supervised biomarker localization and segmentation with image-level annotation in retinal OCT images.
Liu X; Liu Q; Zhang Y; Wang M; Tang J
Comput Biol Med; 2023 Feb; 153():106467. PubMed ID: 36584602
[TBL] [Abstract][Full Text] [Related]
12. A contrastive consistency semi-supervised left atrium segmentation model.
Liu Y; Wang W; Luo G; Wang K; Li S
Comput Med Imaging Graph; 2022 Jul; 99():102092. PubMed ID: 35777192
[TBL] [Abstract][Full Text] [Related]
13. Attention decoupled contrastive learning for semi-supervised segmentation method based on data augmentation.
Pan P; Chen H; Li Y; Peng W; Cheng L
Phys Med Biol; 2024 Jun; 69(12):. PubMed ID: 38759677
[No Abstract] [Full Text] [Related]
14. Multi-granularity learning of explicit geometric constraint and contrast for label-efficient medical image segmentation and differentiable clinical function assessment.
Meng Y; Zhang Y; Xie J; Duan J; Joddrell M; Madhusudhan S; Peto T; Zhao Y; Zheng Y
Med Image Anal; 2024 Jul; 95():103183. PubMed ID: 38692098
[TBL] [Abstract][Full Text] [Related]
15. Min-Max Similarity: A Contrastive Semi-Supervised Deep Learning Network for Surgical Tools Segmentation.
Lou A; Tawfik K; Yao X; Liu Z; Noble J
IEEE Trans Med Imaging; 2023 Oct; 42(10):2832-2841. PubMed ID: 37037256
[TBL] [Abstract][Full Text] [Related]
16. GMIM: Self-supervised pre-training for 3D medical image segmentation with adaptive and hierarchical masked image modeling.
Qi L; Jiang Z; Shi W; Qu F; Feng G
Comput Biol Med; 2024 Jun; 176():108547. PubMed ID: 38728994
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Distributed contrastive learning for medical image segmentation.
Wu Y; Zeng D; Wang Z; Shi Y; Hu J
Med Image Anal; 2022 Oct; 81():102564. PubMed ID: 35994968
[TBL] [Abstract][Full Text] [Related]
19. Anatomy-Aware Contrastive Representation Learning for Fetal Ultrasound.
Fu Z; Jiao J; Yasrab R; Drukker L; Papageorghiou AT; Noble JA
Comput Vis ECCV; 2022 Oct; 2022():422-436. PubMed ID: 37250853
[TBL] [Abstract][Full Text] [Related]
20. Learning Deep Representations of Cardiac Structures for 4D Cine MRI Image Segmentation through Semi-Supervised Learning.
Hasan SMK; Linte CA
Appl Sci (Basel); 2022 Dec; 12(23):. PubMed ID: 37125242
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]