221 related articles for article (PubMed ID: 37399157)
1. LViT: Language Meets Vision Transformer in Medical Image Segmentation.
Li Z; Li Y; Li Q; Wang P; Guo D; Lu L; Jin D; Zhang Y; Hong Q
IEEE Trans Med Imaging; 2024 Jan; 43(1):96-107. PubMed ID: 37399157
[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. HPFG: semi-supervised medical image segmentation framework based on hybrid pseudo-label and feature-guiding.
Li F; Jiang A; Li M; Xiao C; Ji W
Med Biol Eng Comput; 2024 Feb; 62(2):405-421. PubMed ID: 37875739
[TBL] [Abstract][Full Text] [Related]
4. Efficient Combination of CNN and Transformer for Dual-Teacher Uncertainty-guided Semi-supervised Medical Image Segmentation.
Xiao Z; Su Y; Deng Z; Zhang W
Comput Methods Programs Biomed; 2022 Nov; 226():107099. PubMed ID: 36116398
[TBL] [Abstract][Full Text] [Related]
5. A modality-collaborative convolution and transformer hybrid network for unpaired multi-modal medical image segmentation with limited annotations.
Liu H; Zhuang Y; Song E; Xu X; Ma G; Cetinkaya C; Hung CC
Med Phys; 2023 Sep; 50(9):5460-5478. PubMed ID: 36864700
[TBL] [Abstract][Full Text] [Related]
6. Uncertainty-guided cross learning via CNN and transformer for semi-supervised honeycomb lung lesion segmentation.
Zi-An Z; Xiu-Fang F; Xiao-Qiang R; Yun-Yun D
Phys Med Biol; 2023 Dec; 68(24):. PubMed ID: 37988756
[No Abstract] [Full Text] [Related]
7. PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation.
Wang G; Luo X; Gu R; Yang S; Qu Y; Zhai S; Zhao Q; Li K; Zhang S
Comput Methods Programs Biomed; 2023 Apr; 231():107398. PubMed ID: 36773591
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Semi-TMS: an efficient regularization-oriented triple-teacher semi-supervised medical image segmentation model.
Chen W; Zhou S; Liu X; Chen Y
Phys Med Biol; 2023 Oct; 68(20):. PubMed ID: 37699409
[No Abstract] [Full Text] [Related]
10. An Efficient Semi-Supervised Framework with Multi-Task and Curriculum Learning for Medical Image Segmentation.
Wang K; Wang Y; Zhan B; Yang Y; Zu C; Wu X; Zhou J; Nie D; Zhou L
Int J Neural Syst; 2022 Sep; 32(9):2250043. PubMed ID: 35912583
[TBL] [Abstract][Full Text] [Related]
11. Mutual consistency learning for semi-supervised medical image segmentation.
Wu Y; Ge Z; Zhang D; Xu M; Zhang L; Xia Y; Cai J
Med Image Anal; 2022 Oct; 81():102530. PubMed ID: 35839737
[TBL] [Abstract][Full Text] [Related]
12. Mutual learning with reliable pseudo label for semi-supervised medical image segmentation.
Su J; Luo Z; Lian S; Lin D; Li S
Med Image Anal; 2024 May; 94():103111. PubMed ID: 38401271
[TBL] [Abstract][Full Text] [Related]
13. An Effective Semi-Supervised Approach for Liver CT Image Segmentation.
Han K; Liu L; Song Y; Liu Y; Qiu C; Tang Y; Teng Q; Liu Z
IEEE J Biomed Health Inform; 2022 Aug; 26(8):3999-4007. PubMed ID: 35420991
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Weakly supervised learning for multi-class medical image segmentation via feature decomposition.
Kuang Z; Yan Z; Yu L
Comput Biol Med; 2024 Mar; 171():108228. PubMed ID: 38422964
[TBL] [Abstract][Full Text] [Related]
16. Semi-supervised medical image segmentation via feature similarity and reliable-region enhancement.
Long J; Yang C; Ren Y; Zeng Z
Comput Biol Med; 2023 Dec; 167():107668. PubMed ID: 37931524
[TBL] [Abstract][Full Text] [Related]
17. MDT: semi-supervised medical image segmentation with mixup-decoupling training.
Long J; Ren Y; Yang C; Ren P; Zeng Z
Phys Med Biol; 2024 Mar; 69(6):. PubMed ID: 38324897
[No Abstract] [Full Text] [Related]
18. URCA: Uncertainty-based region clipping algorithm for semi-supervised medical image segmentation.
Qin C; Wang Y; Zhang J
Comput Methods Programs Biomed; 2024 Jun; 254():108278. PubMed ID: 38878360
[TBL] [Abstract][Full Text] [Related]
19. Semi-supervised medical image segmentation via cross-guidance and feature-level consistency dual regularization schemes.
Yang X; Tian J; Wan Y; Chen M; Chen L; Chen J
Med Phys; 2023 Jul; 50(7):4269-4281. PubMed ID: 36636813
[TBL] [Abstract][Full Text] [Related]
20. Compete to Win: Enhancing Pseudo Labels for Barely-Supervised Medical Image Segmentation.
Wu H; Li X; Lin Y; Cheng KT
IEEE Trans Med Imaging; 2023 Nov; 42(11):3244-3255. PubMed ID: 37220039
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
