345 related articles for article (PubMed ID: 35047230)
1. 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]
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. 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]
6. 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]
7. A Graph-Based Multi-Scale Approach With Knowledge Distillation for WSI Classification.
Bontempo G; Bolelli F; Porrello A; Calderara S; Ficarra E
IEEE Trans Med Imaging; 2024 Apr; 43(4):1412-1421. PubMed ID: 38015690
[TBL] [Abstract][Full Text] [Related]
8. 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 May; 253():108237. PubMed ID: 38820715
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. Unsupervised mutual transformer learning for multi-gigapixel Whole Slide Image classification.
Javed S; Mahmood A; Qaiser T; Werghi N; Rajpoot N
Med Image Anal; 2024 May; 96():103203. PubMed ID: 38810517
[TBL] [Abstract][Full Text] [Related]
12. 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]
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. 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]
15. 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]
16. 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]
17. A self-supervised contrastive learning approach for whole slide image representation in digital pathology.
Fashi PA; Hemati S; Babaie M; Gonzalez R; Tizhoosh HR
J Pathol Inform; 2022; 13():100133. PubMed ID: 36605114
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Combining weakly and strongly supervised learning improves strong supervision in Gleason pattern classification.
Otálora S; Marini N; Müller H; Atzori M
BMC Med Imaging; 2021 May; 21(1):77. PubMed ID: 33964886
[TBL] [Abstract][Full Text] [Related]
20. Weakly supervised joint whole-slide segmentation and classification in prostate cancer.
Pati P; Jaume G; Ayadi Z; Thandiackal K; Bozorgtabar B; Gabrani M; Goksel O
Med Image Anal; 2023 Oct; 89():102915. PubMed ID: 37633177
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
