117 related articles for article (PubMed ID: 38832012)
1. Nuclei-level prior knowledge constrained multiple instance learning for breast histopathology whole slide image classification.
Wang X; Yuan W
iScience; 2024 Jun; 27(6):109826. PubMed ID: 38832012
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. 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]
5. 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]
6. Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks.
Yao J; Zhu X; Jonnagaddala J; Hawkins N; Huang J
Med Image Anal; 2020 Oct; 65():101789. PubMed ID: 32739769
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. 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]
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. 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]
12. Local-to-global spatial learning for whole-slide image representation and classification.
Yu J; Ma T; Fu Y; Chen H; Lai M; Zhuo C; Xu Y
Comput Med Imaging Graph; 2023 Jul; 107():102230. PubMed ID: 37116341
[TBL] [Abstract][Full Text] [Related]
13. Second-order multi-instance learning model for whole slide image classification.
Wang Q; Zou Y; Zhang J; Liu B
Phys Med Biol; 2021 Jul; 66(14):. PubMed ID: 34181583
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. 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]
16. MICIL: Multiple-Instance Class-Incremental Learning for skin cancer whole slide images.
Meseguer P; Del Amor R; Naranjo V
Artif Intell Med; 2024 Jun; 152():102870. PubMed ID: 38663270
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. IDA-MIL: Classification of Glomerular with Spike-like Projections via Multiple Instance Learning with Instance-level Data Augmentation.
Wu X; Chen Y; Li X; Liu X; Liu Y; Wu Y; Li M; Zhou X; Wang C
Comput Methods Programs Biomed; 2022 Oct; 225():107106. PubMed ID: 36088891
[TBL] [Abstract][Full Text] [Related]
19. Weakly Supervised Deep Learning for Whole Slide Lung Cancer Image Analysis.
Wang X; Chen H; Gan C; Lin H; Dou Q; Tsougenis E; Huang Q; Cai M; Heng PA
IEEE Trans Cybern; 2020 Sep; 50(9):3950-3962. PubMed ID: 31484154
[TBL] [Abstract][Full Text] [Related]
20. Learning how to detect: A deep reinforcement learning method for whole-slide melanoma histopathology images.
Zheng T; Chen W; Li S; Quan H; Zou M; Zheng S; Zhao Y; Gao X; Cui X
Comput Med Imaging Graph; 2023 Sep; 108():102275. PubMed ID: 37567046
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]