Global contextual representation via graph-transformer fusion for hepatocellular carcinoma prognosis in whole-slide images

Author:

Tang Luyu,Diao Songhui,Li Chao,He Miaoxia,Ru Kun,Qin WenjianORCID

Publisher

Elsevier BV

Reference41 articles.

1. Systematic analysis of breast cancer morphology uncovers stromal features associated with survival;Beck;Sci. Transl. Med.,2011

2. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries;Bray;CA: Cancer J. Clin.,2018

3. Deep learning based tissue analysis predicts outcome in colorectal cancer;Bychkov;Sci. Rep.,2018

4. Whole slide images are 2d point clouds: Context-aware survival prediction using patch-based graph convolutional networks;Chen,2021

5. Cellular architecture on whole slide images allows the prediction of survival in lung adenocarcinoma;Chen,2022

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1. Multi-scale multi-instance contrastive learning for whole slide image classification;Engineering Applications of Artificial Intelligence;2024-12

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