Survival Prediction for Gastric Cancer via Multimodal Learning of Whole Slide Images and Gene Expression-Reference-Cited by-同舟云学术

Survival Prediction for Gastric Cancer via Multimodal Learning of Whole Slide Images and Gene Expression

Published:2022-12-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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Author:

Xie Yuzhang¹,Niu Guoshuai¹,Da Qian²,Dai Wentao³,Yang Yang¹

Affiliation:

1. Shanghai Jiao Tong University,Department of Computer Science and Engineering,Shanghai,China,200240

2. Shanghai Jiao Tong University School of Medicine,Ruijin Hospital,Department of Pathology,Shanghai,China,200025

3. NHC Key Lab of Reproduction Regulation (Shanghai Institute for Biomedical and Pharmaceutical Technologies) & Shanghai Engineering Research Center of Pharmaceutical Translation, Fudan University,Shanghai,China,200080

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9994793/9994847/09995480.pdf?arnumber=9995480

Reference21 articles.

1. Burden of Gastric Cancer

2. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

3. Artificial intelligence in gastric cancer: Application and future perspectives

4. Attention-based deep multiple instance learning;Ilse

5. Deep Multi-instance Learning for Survival Prediction from Whole Slide Images

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