These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
609 related articles for article (PubMed ID: 36878159)
1. SAC-Net: Learning with weak and noisy labels in histopathology image segmentation. Guo R; Xie K; Pagnucco M; Song Y Med Image Anal; 2023 May; 86():102790. PubMed ID: 36878159 [TBL] [Abstract][Full Text] [Related]
2. Nuclei segmentation with point annotations from pathology images via self-supervised learning and co-training. Lin Y; Qu Z; Chen H; Gao Z; Li Y; Xia L; Ma K; Zheng Y; Cheng KT Med Image Anal; 2023 Oct; 89():102933. PubMed ID: 37611532 [TBL] [Abstract][Full Text] [Related]
3. Cyclic Learning: Bridging Image-Level Labels and Nuclei Instance Segmentation. Zhou Y; Wu Y; Wang Z; Wei B; Lai M; Shou J; Fan Y; Xu Y IEEE Trans Med Imaging; 2023 Oct; 42(10):3104-3116. PubMed ID: 37171933 [TBL] [Abstract][Full Text] [Related]
4. 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]
6. Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images. Qu H; Wu P; Huang Q; Yi J; Yan Z; Li K; Riedlinger GM; De S; Zhang S; Metaxas DN IEEE Trans Med Imaging; 2020 Nov; 39(11):3655-3666. PubMed ID: 32746112 [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. 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]
9. Joint fully convolutional and graph convolutional networks for weakly-supervised segmentation of pathology images. Zhang J; Hua Z; Yan K; Tian K; Yao J; Liu E; Liu M; Han X Med Image Anal; 2021 Oct; 73():102183. PubMed ID: 34340108 [TBL] [Abstract][Full Text] [Related]
10. DMSPS: Dynamically mixed soft pseudo-label supervision for scribble-supervised medical image segmentation. Han M; Luo X; Xie X; Liao W; Zhang S; Song T; Wang G; Zhang S Med Image Anal; 2024 Oct; 97():103274. PubMed ID: 39043109 [TBL] [Abstract][Full Text] [Related]
11. S-CUDA: Self-cleansing unsupervised domain adaptation for medical image segmentation. Liu L; Zhang Z; Li S; Ma K; Zheng Y Med Image Anal; 2021 Dec; 74():102214. PubMed ID: 34464837 [TBL] [Abstract][Full Text] [Related]
12. 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]
13. 3D Image Segmentation With Sparse Annotation by Self-Training and Internal Registration. Bitarafan A; Nikdan M; Baghshah MS IEEE J Biomed Health Inform; 2021 Jul; 25(7):2665-2672. PubMed ID: 33211667 [TBL] [Abstract][Full Text] [Related]
14. Multi-layer pseudo-supervision for histopathology tissue semantic segmentation using patch-level classification labels. Han C; Lin J; Mai J; Wang Y; Zhang Q; Zhao B; Chen X; Pan X; Shi Z; Xu Z; Yao S; Yan L; Lin H; Huang X; Liang C; Han G; Liu Z Med Image Anal; 2022 Aug; 80():102487. PubMed ID: 35671591 [TBL] [Abstract][Full Text] [Related]
15. BoNuS: Boundary Mining for Nuclei Segmentation With Partial Point Labels. Lin Y; Wang Z; Zhang D; Cheng KT; Chen H IEEE Trans Med Imaging; 2024 Jun; 43(6):2137-2147. PubMed ID: 38231818 [TBL] [Abstract][Full Text] [Related]
16. One-Shot Weakly-Supervised Segmentation in 3D Medical Images. Lei W; Su Q; Jiang T; Gu R; Wang N; Liu X; Wang G; Zhang X; Zhang S IEEE Trans Med Imaging; 2024 Jan; 43(1):175-189. PubMed ID: 37440388 [TBL] [Abstract][Full Text] [Related]
17. MaskMitosis: a deep learning framework for fully supervised, weakly supervised, and unsupervised mitosis detection in histopathology images. Sebai M; Wang X; Wang T Med Biol Eng Comput; 2020 Jul; 58(7):1603-1623. PubMed ID: 32445109 [TBL] [Abstract][Full Text] [Related]
18. 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]
19. Learning from crowds for automated histopathological image segmentation. López-Pérez M; Morales-Álvarez P; Cooper LAD; Felicelli C; Goldstein J; Vadasz B; Molina R; Katsaggelos AK Comput Med Imaging Graph; 2024 Mar; 112():102327. PubMed ID: 38194768 [TBL] [Abstract][Full Text] [Related]
20. Weakly Supervised Deep Nuclei Segmentation With Sparsely Annotated Bounding Boxes for DNA Image Cytometry. Liang Y; Yin Z; Liu H; Zeng H; Wang J; Liu J; Che N IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(1):785-795. PubMed ID: 34951851 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]