656 related articles for article (PubMed ID: 36584602)
1. 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]
2. Point based weakly semi-supervised biomarker detection with cross-scale and label assignment in retinal OCT images.
Liu X; Zhu X; Zhang Y; Wang M
Comput Methods Programs Biomed; 2024 Jun; 251():108229. PubMed ID: 38761413
[TBL] [Abstract][Full Text] [Related]
3. Anomaly-guided weakly supervised lesion segmentation on retinal OCT images.
Yang J; Mehta N; Demirci G; Hu X; Ramakrishnan MS; Naguib M; Chen C; Tsai CL
Med Image Anal; 2024 May; 94():103139. PubMed ID: 38493532
[TBL] [Abstract][Full Text] [Related]
4. Intra- and Inter-Slice Contrastive Learning for Point Supervised OCT Fluid Segmentation.
He X; Fang L; Tan M; Chen X
IEEE Trans Image Process; 2022; 31():1870-1881. PubMed ID: 35139015
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Segmentation of paracentral acute middle maculopathy lesions in spectral-domain optical coherence tomography images through weakly supervised deep convolutional networks.
Zhang T; Wei Q; Li Z; Meng W; Zhang M; Zhang Z
Comput Methods Programs Biomed; 2023 Oct; 240():107632. PubMed ID: 37329802
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. HAMIL: High-Resolution Activation Maps and Interleaved Learning for Weakly Supervised Segmentation of Histopathological Images.
Zhong L; Wang G; Liao X; Zhang S
IEEE Trans Med Imaging; 2023 Oct; 42(10):2912-2923. PubMed ID: 37093729
[TBL] [Abstract][Full Text] [Related]
9. Weakly supervised segmentation on neural compressed histopathology with self-equivariant regularization.
Chikontwe P; Jung Sung H; Jeong J; Kim M; Go H; Jeong Nam S; Hyun Park S
Med Image Anal; 2022 Aug; 80():102482. PubMed ID: 35688048
[TBL] [Abstract][Full Text] [Related]
10. Simultaneous alignment and surface regression using hybrid 2D-3D networks for 3D coherent layer segmentation of retinal OCT images with full and sparse annotations.
Liu H; Wei D; Lu D; Tang X; Wang L; Zheng Y
Med Image Anal; 2024 Jan; 91():103019. PubMed ID: 37944431
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Weakly supervised semantic segmentation of histological tissue via attention accumulation and pixel-level contrast learning.
Han Y; Cheng L; Huang G; Zhong G; Li J; Yuan X; Liu H; Li J; Zhou J; Cai M
Phys Med Biol; 2023 Feb; 68(4):. PubMed ID: 36577142
[No Abstract] [Full Text] [Related]
13. Weakly Supervised Liver Tumor Segmentation Using Couinaud Segment Annotation.
Lyu F; Ma AJ; Yip TC; Wong GL; Yuen PC
IEEE Trans Med Imaging; 2022 May; 41(5):1138-1149. PubMed ID: 34871168
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Using Sparse Patch Annotation for Tumor Segmentation in Histopathological Images.
Liu Y; He Q; Duan H; Shi H; Han A; He Y
Sensors (Basel); 2022 Aug; 22(16):. PubMed ID: 36015814
[TBL] [Abstract][Full Text] [Related]
16. A bidirectional multilayer contrastive adaptation network with anatomical structure preservation for unpaired cross-modality medical image segmentation.
Liu H; Zhuang Y; Song E; Xu X; Hung CC
Comput Biol Med; 2022 Oct; 149():105964. PubMed ID: 36007288
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Weakly Supervised Segmentation of COVID19 Infection with Scribble Annotation on CT Images.
Liu X; Yuan Q; Gao Y; He K; Wang S; Tang X; Tang J; Shen D
Pattern Recognit; 2022 Feb; 122():108341. PubMed ID: 34565913
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. 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]
[Next] [New Search]
