Masked hypergraph learning for weakly supervised histopathology whole slide image classification-Reference-Cited by-同舟云学术

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Masked hypergraph learning for weakly supervised histopathology whole slide image classification

Published:2024-08 Issue: Volume:253 Page:108237
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Shi Jun^ORCID,Shu Tong^ORCID,Wu Kun^ORCID,Jiang Zhiguo,Zheng Liping^ORCID,Wang Wei,Wu Haibo^ORCID,Zheng Yushan^ORCID

Publisher

Elsevier BV

Reference52 articles.

1. A deep learning method for breast cancer classification in the pathology images;Liu;IEEE J. Biomed. Health Inf.,2022

2. Cervical cell classification with graph convolutional network;Shi;Comput. Methods Programs Biomed.,2021

3. Kernel attention transformer for histopathology whole slide image analysis and assistant cancer diagnosis;Zheng;IEEE Trans. Med. Imaging,2023

4. 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;Comput. Methods Programs Biomed.,2023

5. Interpretable classification of pathology whole-slide images using attention based context-aware graph convolutional neural network;Liang;Comput. Methods Programs Biomed.,2023

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