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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

350 related articles for article (PubMed ID: 37722310)

  • 1. TGMIL: A hybrid multi-instance learning model based on the Transformer and the Graph Attention Network for whole-slide images classification of renal cell carcinoma.
    Sun X; Li W; Fu B; Peng Y; He J; Wang L; Yang T; Meng X; Li J; Wang J; Huang P; Wang R
    Comput Methods Programs Biomed; 2023 Dec; 242():107789. PubMed ID: 37722310
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Multi-Scale Efficient Graph-Transformer for Whole Slide Image Classification.
    Ding S; Li J; Wang J; Ying S; Shi J
    IEEE J Biomed Health Inform; 2023 Dec; 27(12):5926-5936. PubMed ID: 37725722
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. SAMPLER: unsupervised representations for rapid analysis of whole slide tissue images.
    Mukashyaka P; Sheridan TB; Foroughi Pour A; Chuang JH
    EBioMedicine; 2024 Jan; 99():104908. PubMed ID: 38101298
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. 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]  

  • 7. Colorectal cancer lymph node metastasis prediction with weakly supervised transformer-based multi-instance learning.
    Tan L; Li H; Yu J; Zhou H; Wang Z; Niu Z; Li J; Li Z
    Med Biol Eng Comput; 2023 Jun; 61(6):1565-1580. PubMed ID: 36809427
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A Structure-Aware Hierarchical Graph-Based Multiple Instance Learning Framework for pT Staging in Histopathological Image.
    Shi J; Tang L; Li Y; Zhang X; Gao Z; Zheng Y; Wang C; Gong T; Li C
    IEEE Trans Med Imaging; 2023 Oct; 42(10):3000-3011. PubMed ID: 37145949
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Interpretable classification of pathology whole-slide images using attention based context-aware graph convolutional neural network.
    Liang M; Chen Q; Li B; Wang L; Wang Y; Zhang Y; Wang R; Jiang X; Zhang C
    Comput Methods Programs Biomed; 2023 Feb; 229():107268. PubMed ID: 36495811
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Classification of colorectal cancer consensus molecular subtypes using attention-based multi-instance learning network on whole-slide images.
    Xu H; Wu A; Ren H; Yu C; Liu G; Liu L
    Acta Histochem; 2023 Aug; 125(6):152057. PubMed ID: 37300984
    [TBL] [Abstract][Full Text] [Related]  

  • 11. MG-Trans: Multi-Scale Graph Transformer With Information Bottleneck for Whole Slide Image Classification.
    Shi J; Tang L; Gao Z; Li Y; Wang C; Gong T; Li C; Fu H
    IEEE Trans Med Imaging; 2023 Dec; 42(12):3871-3883. PubMed ID: 37682644
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Data-efficient and weakly supervised computational pathology on whole-slide images.
    Lu MY; Williamson DFK; Chen TY; Chen RJ; Barbieri M; Mahmood F
    Nat Biomed Eng; 2021 Jun; 5(6):555-570. PubMed ID: 33649564
    [TBL] [Abstract][Full Text] [Related]  

  • 14. MIST: multiple instance learning network based on Swin Transformer for whole slide image classification of colorectal adenomas.
    Cai H; Feng X; Yin R; Zhao Y; Guo L; Fan X; Liao J
    J Pathol; 2023 Feb; 259(2):125-135. PubMed ID: 36318158
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Neighborhood attention transformer multiple instance learning for whole slide image classification.
    Aftab R; Yan Q; Zhao J; Yong G; Huajie Y; Urrehman Z; Mohammad Khalid F
    Front Oncol; 2024; 14():1389396. PubMed ID: 39267847
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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 Aug; 96():103203. PubMed ID: 38810517
    [TBL] [Abstract][Full Text] [Related]  

  • 17. E
    Shi J; Li C; Gong T; Fu H
    Med Image Anal; 2024 Oct; 97():103294. PubMed ID: 39128377
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Automatic diagnosis and grading of Prostate Cancer with weakly supervised learning on whole slide images.
    Xiang J; Wang X; Wang X; Zhang J; Yang S; Yang W; Han X; Liu Y
    Comput Biol Med; 2023 Jan; 152():106340. PubMed ID: 36481762
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Lymph Node Metastasis Prediction From Whole Slide Images With Transformer-Guided Multiinstance Learning and Knowledge Transfer.
    Wang Z; Yu L; Ding X; Liao X; Wang L
    IEEE Trans Med Imaging; 2022 Oct; 41(10):2777-2787. PubMed ID: 35486559
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 18.