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.
121 related articles for article (PubMed ID: 37026019)
21. Combining unsupervised constraints on weakly supervised semantic segmentation of skin cancer. Yan H; Wang P; Jia Y; Si X; Wei B Biomed Phys Eng Express; 2024 Aug; 10(5):. PubMed ID: 39019048 [TBL] [Abstract][Full Text] [Related]
22. Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance Segmentation. Liu Y; Wu YH; Wen P; Shi Y; Qiu Y; Cheng MM IEEE Trans Pattern Anal Mach Intell; 2022 Mar; 44(3):1415-1428. PubMed ID: 32915726 [TBL] [Abstract][Full Text] [Related]
23. Validation of automated screening for referable diabetic retinopathy with the IDx-DR device in the Hoorn Diabetes Care System. van der Heijden AA; Abramoff MD; Verbraak F; van Hecke MV; Liem A; Nijpels G Acta Ophthalmol; 2018 Feb; 96(1):63-68. PubMed ID: 29178249 [TBL] [Abstract][Full Text] [Related]
24. Explainable Diabetic Retinopathy using EfficientNET Chetoui M; Akhloufi MA Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():1966-1969. PubMed ID: 33018388 [TBL] [Abstract][Full Text] [Related]
25. Detection of Diabetic Retinopathy from Ultra-Widefield Scanning Laser Ophthalmoscope Images: A Multicenter Deep Learning Analysis. Tang F; Luenam P; Ran AR; Quadeer AA; Raman R; Sen P; Khan R; Giridhar A; Haridas S; Iglicki M; Zur D; Loewenstein A; Negri HP; Szeto S; Lam BKY; Tham CC; Sivaprasad S; Mckay M; Cheung CY Ophthalmol Retina; 2021 Nov; 5(11):1097-1106. PubMed ID: 33540169 [TBL] [Abstract][Full Text] [Related]
26. A deep weakly semi-supervised framework for endoscopic lesion segmentation. Shi Y; Wang H; Ji H; Liu H; Li Y; He N; Wei D; Huang Y; Dai Q; Wu J; Chen X; Zheng Y; Yu H Med Image Anal; 2023 Dec; 90():102973. PubMed ID: 37757643 [TBL] [Abstract][Full Text] [Related]
27. Weakly Supervised Breast Lesion Detection in Dynamic Contrast-Enhanced MRI. Sun R; Wei C; Jiang Z; Huang G; Xie Y; Nie S J Digit Imaging; 2023 Aug; 36(4):1553-1564. PubMed ID: 37253896 [TBL] [Abstract][Full Text] [Related]
28. Masked autoencoders with handcrafted feature predictions: Transformer for weakly supervised esophageal cancer classification. Bai Y; Li W; An J; Xia L; Chen H; Zhao G; Gao Z Comput Methods Programs Biomed; 2024 Feb; 244():107936. PubMed ID: 38016392 [TBL] [Abstract][Full Text] [Related]
29. A universal multiple instance learning framework for whole slide image analysis. Zhang X; Liu C; Zhu H; Wang T; Du Z; Ding W Comput Biol Med; 2024 Aug; 178():108714. PubMed ID: 38889627 [TBL] [Abstract][Full Text] [Related]
31. Weakly Supervised Sensitive Heatmap framework to classify and localize diabetic retinopathy lesions. Al-Mukhtar M; Morad AH; Albadri M; Islam MDS Sci Rep; 2021 Dec; 11(1):23631. PubMed ID: 34880311 [TBL] [Abstract][Full Text] [Related]
32. Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learning. Li B; Li Y; Eliceiri KW Conf Comput Vis Pattern Recognit Workshops; 2021 Jun; 2021():14318-14328. PubMed ID: 35047230 [TBL] [Abstract][Full Text] [Related]
33. Consistency label-activated region generating network for weakly supervised medical image segmentation. Du W; Huo Y; Zhou R; Sun Y; Tang S; Zhao X; Li Y; Li G Comput Biol Med; 2024 May; 173():108380. PubMed ID: 38555701 [TBL] [Abstract][Full Text] [Related]
34. Negative Deterministic Information-Based Multiple Instance Learning for Weakly Supervised Object Detection and Segmentation. Wang G; Zhang X; Peng Z; Zhang T; Tang X; Zhou H; Jiao L IEEE Trans Neural Netw Learn Syst; 2024 May; PP():. PubMed ID: 38748523 [TBL] [Abstract][Full Text] [Related]
35. Weakly-supervised learning-based pathology detection and localization in 3D chest CT scans. Djahnine A; Jupin-Delevaux E; Nempont O; Si-Mohamed SA; Craighero F; Cottin V; Douek P; Popoff A; Boussel L Med Phys; 2024 Nov; 51(11):8272-8282. PubMed ID: 39140793 [TBL] [Abstract][Full Text] [Related]
36. ScribSD+: Scribble-supervised medical image segmentation based on simultaneous multi-scale knowledge distillation and class-wise contrastive regularization. Qu Y; Lu T; Zhang S; Wang G Comput Med Imaging Graph; 2024 Sep; 116():102416. PubMed ID: 39018640 [TBL] [Abstract][Full Text] [Related]
37. A Diabetic Retinopathy Classification Framework Based on Deep-Learning Analysis of OCT Angiography. Zang P; Hormel TT; Wang X; Tsuboi K; Huang D; Hwang TS; Jia Y Transl Vis Sci Technol; 2022 Jul; 11(7):10. PubMed ID: 35822949 [TBL] [Abstract][Full Text] [Related]
38. 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]
39. 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]