340 related articles for article (PubMed ID: 36933385)
1. Weakly supervised histopathology image segmentation with self-attention.
Li K; Qian Z; Han Y; Chang EI; Wei B; Lai M; Liao J; Fan Y; Xu Y
Med Image Anal; 2023 May; 86():102791. PubMed ID: 36933385
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. Weakly Supervised Histopathology Image Segmentation With Sparse Point Annotations.
Chen Z; Chen Z; Liu J; Zheng Q; Zhu Y; Zuo Y; Wang Z; Guan X; Wang Y; Li Y
IEEE J Biomed Health Inform; 2021 May; 25(5):1673-1685. PubMed ID: 32931437
[TBL] [Abstract][Full Text] [Related]
5. Constrained Deep Weak Supervision for Histopathology Image Segmentation.
Jia Z; Huang X; Chang EI; Xu Y
IEEE Trans Med Imaging; 2017 Nov; 36(11):2376-2388. PubMed ID: 28692971
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Weakly supervised histopathology cancer image segmentation and classification.
Xu Y; Zhu JY; Chang EI; Lai M; Tu Z
Med Image Anal; 2014 Apr; 18(3):591-604. PubMed ID: 24637156
[TBL] [Abstract][Full Text] [Related]
8. Weakly supervised cell instance segmentation under various conditions.
Nishimura K; Wang C; Watanabe K; Fei Elmer Ker D; Bise R
Med Image Anal; 2021 Oct; 73():102182. PubMed ID: 34340103
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. 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]
12. 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]
13. Weakly supervised mitosis detection in breast histopathology images using concentric loss.
Li C; Wang X; Liu W; Latecki LJ; Wang B; Huang J
Med Image Anal; 2019 Apr; 53():165-178. PubMed ID: 30798116
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. 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]
16. Attention2Minority: A salient instance inference-based multiple instance learning for classifying small lesions in whole slide images.
Su Z; Rezapour M; Sajjad U; Gurcan MN; Niazi MKK
Comput Biol Med; 2023 Dec; 167():107607. PubMed ID: 37890421
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Constrained-CNN losses for weakly supervised segmentation.
Kervadec H; Dolz J; Tang M; Granger E; Boykov Y; Ben Ayed I
Med Image Anal; 2019 May; 54():88-99. PubMed ID: 30851541
[TBL] [Abstract][Full Text] [Related]
19. Affinity Attention Graph Neural Network for Weakly Supervised Semantic Segmentation.
Zhang B; Xiao J; Jiao J; Wei Y; Zhao Y
IEEE Trans Pattern Anal Mach Intell; 2022 Nov; 44(11):8082-8096. PubMed ID: 34033532
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]