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.
3. A Self-Supervised Equivariant Refinement Classification Network for Diabetic Retinopathy Classification. Fan J; Yang T; Wang H; Zhang H; Zhang W; Ji M; Miao J J Imaging Inform Med; 2024 Sep; ():. PubMed ID: 39299958 [TBL] [Abstract][Full Text] [Related]
4. Weakly supervised training for eye fundus lesion segmentation in patients with diabetic retinopathy. Li Y; Zhu M; Sun G; Chen J; Zhu X; Yang J Math Biosci Eng; 2022 Mar; 19(5):5293-5311. PubMed ID: 35430865 [TBL] [Abstract][Full Text] [Related]
5. Collaborative learning of weakly-supervised domain adaptation for diabetic retinopathy grading on retinal images. Cao P; Hou Q; Song R; Wang H; Zaiane O Comput Biol Med; 2022 May; 144():105341. PubMed ID: 35279423 [TBL] [Abstract][Full Text] [Related]
6. A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability. Zhou Y; Wang B; Huang L; Cui S; Shao L IEEE Trans Med Imaging; 2021 Mar; 40(3):818-828. PubMed ID: 33180722 [TBL] [Abstract][Full Text] [Related]
7. Efficient multi-kernel multi-instance learning using weakly supervised and imbalanced data for diabetic retinopathy diagnosis. Cao P; Ren F; Wan C; Yang J; Zaiane O Comput Med Imaging Graph; 2018 Nov; 69():112-124. PubMed ID: 30237145 [TBL] [Abstract][Full Text] [Related]
8. 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]
9. Deep semi-supervised multiple instance learning with self-correction for DME classification from OCT images. Wang X; Tang F; Chen H; Cheung CY; Heng PA Med Image Anal; 2023 Jan; 83():102673. PubMed ID: 36403310 [TBL] [Abstract][Full Text] [Related]
10. Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating room. Srivastav V; Gangi A; Padoy N Med Image Anal; 2022 Aug; 80():102525. PubMed ID: 35809529 [TBL] [Abstract][Full Text] [Related]
11. 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]
12. Towards Safe Weakly Supervised Learning. Li YF; Guo LZ; Zhou ZH IEEE Trans Pattern Anal Mach Intell; 2021 Jan; 43(1):334-346. PubMed ID: 31199253 [TBL] [Abstract][Full Text] [Related]
13. BBox-Guided Segmentor: Leveraging expert knowledge for accurate stroke lesion segmentation using weakly supervised bounding box prior. Ou Y; Huang SX; Wong KK; Cummock J; Volpi J; Wang JZ; Wong STC Comput Med Imaging Graph; 2023 Jul; 107():102236. PubMed ID: 37146318 [TBL] [Abstract][Full Text] [Related]
14. 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]
16. 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]
17. 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]
18. 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]
19. 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]
20. 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] [Next] [New Search]