113 related articles for article (PubMed ID: 38781068)
1. Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Bag-Level Classifier is a Good Instance-Level Teacher.
Wang H; Luo L; Wang F; Tong R; Chen YW; Hu H; Lin L; Chen H
IEEE Trans Med Imaging; 2024 May; PP():. PubMed ID: 38781068
[TBL] [Abstract][Full Text] [Related]
2. 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 Jun; 178():108714. PubMed ID: 38889627
[TBL] [Abstract][Full Text] [Related]
3. Bayesian Collaborative Learning for Whole-Slide Image Classification.
Yu JG; Wu Z; Ming Y; Deng S; Wu Q; Xiong Z; Yu T; Xia GS; Jiang Q; Li Y
IEEE Trans Med Imaging; 2023 Jun; 42(6):1809-1821. PubMed ID: 37022247
[TBL] [Abstract][Full Text] [Related]
4. ProDiv: Prototype-driven consistent pseudo-bag division for whole-slide image classification.
Yang R; Liu P; Ji L
Comput Methods Programs Biomed; 2024 Jun; 249():108161. PubMed ID: 38608349
[TBL] [Abstract][Full Text] [Related]
5. Negative Instance Guided Self-Distillation Framework for Whole Slide Image Analysis.
Luo X; Qu L; Guo Q; Song Z; Wang M
IEEE J Biomed Health Inform; 2024 Feb; 28(2):964-975. PubMed ID: 37494153
[TBL] [Abstract][Full Text] [Related]
6. UD-MIL: Uncertainty-Driven Deep Multiple Instance Learning for OCT Image Classification.
Wang X; Tang F; Chen H; Luo L; Tang Z; Ran AR; Cheung CY; Heng PA
IEEE J Biomed Health Inform; 2020 Dec; 24(12):3431-3442. PubMed ID: 32248132
[TBL] [Abstract][Full Text] [Related]
7. Iterative multiple instance learning for weakly annotated whole slide image classification.
Zhou Y; Che S; Lu F; Liu S; Yan Z; Wei J; Li Y; Ding X; Lu Y
Phys Med Biol; 2023 Jul; 68(15):. PubMed ID: 37311470
[No Abstract] [Full Text] [Related]
8. Pseudo-Bag Mixup Augmentation for Multiple Instance Learning-Based Whole Slide Image Classification.
Liu P; Ji L; Zhang X; Ye F
IEEE Trans Med Imaging; 2024 May; 43(5):1841-1852. PubMed ID: 38194395
[TBL] [Abstract][Full Text] [Related]
9. MuRCL: Multi-Instance Reinforcement Contrastive Learning for Whole Slide Image Classification.
Zhu Z; Yu L; Wu W; Yu R; Zhang D; Wang L
IEEE Trans Med Imaging; 2023 May; 42(5):1337-1348. PubMed ID: 37015475
[TBL] [Abstract][Full Text] [Related]
10. Multi-scale representation attention based deep multiple instance learning for gigapixel whole slide image analysis.
Xiang H; Shen J; Yan Q; Xu M; Shi X; Zhu X
Med Image Anal; 2023 Oct; 89():102890. PubMed ID: 37467642
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. 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]
13. Learning binary and sparse permutation-invariant representations for fast and memory efficient whole slide image search.
Hemati S; Kalra S; Babaie M; Tizhoosh HR
Comput Biol Med; 2023 Aug; 162():107026. PubMed ID: 37267827
[TBL] [Abstract][Full Text] [Related]
14. Targeting tumor heterogeneity: multiplex-detection-based multiple instance learning for whole slide image classification.
Wang Z; Bi Y; Pan T; Wang X; Bain C; Bassed R; Imoto S; Yao J; Daly RJ; Song J
Bioinformatics; 2023 Mar; 39(3):. PubMed ID: 36864612
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. 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]
17. LESS: Label-efficient multi-scale learning for cytological whole slide image screening.
Zhao B; Deng W; Li ZHH; Zhou C; Gao Z; Wang G; Li X
Med Image Anal; 2024 May; 94():103109. PubMed ID: 38387243
[TBL] [Abstract][Full Text] [Related]
18. A Novel Attribute-Based Symmetric Multiple Instance Learning for Histopathological Image Analysis.
Vu T; Lai P; Raich R; Pham A; Fern XZ; Rao UA
IEEE Trans Med Imaging; 2020 Oct; 39(10):3125-3136. PubMed ID: 32305904
[TBL] [Abstract][Full Text] [Related]
19. Masked hypergraph learning for weakly supervised histopathology whole slide image classification.
Shi J; Shu T; Wu K; Jiang Z; Zheng L; Wang W; Wu H; Zheng Y
Comput Methods Programs Biomed; 2024 Aug; 253():108237. PubMed ID: 38820715
[TBL] [Abstract][Full Text] [Related]
20. A Sphere-Description-Based Approach for Multiple-Instance Learning.
Xiao Y; Liu B; Hao Z
IEEE Trans Pattern Anal Mach Intell; 2017 Feb; 39(2):242-257. PubMed ID: 26978553
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
