SAMMS: Multi-modality Deep Learning with the Foundation Model for the Prediction of Cancer Patient Survival-Reference-Cited by-同舟云学术

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SAMMS: Multi-modality Deep Learning with the Foundation Model for the Prediction of Cancer Patient Survival

Published:2023-12-05 Issue: Volume:9 Page:3662-3668
ISSN:
Container-title:2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
language:
Short-container-title:

Author:

Zhu Wen¹,Chen Yiwen²,Nie Shanling³,Yang Hai¹

Affiliation:

1. East China University of Science and Technology,Department of Computer Science and Engineering,Shanghai,China

2. National University of Singapore,Center for Continuing and Lifelong Education,Singapore

3. The University of Sydney,Faculty of Engineering,Australia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10385250/10385251/10385661.pdf?arnumber=10385661

Reference23 articles.

1. Open Access to Large Scale Datasets Is Needed to Translate Knowledge of Cancer Heterogeneity into Better Patient Outcomes

2. Changing profiles of cancer burden worldwide and in China: a secondary analysis of the global cancer statistics 2020

3. Regression Models and Life-Tables

4. THE LASSO METHOD FOR VARIABLE SELECTION IN THE COX MODEL

5. GPDBN: deep bilinear network integrating both genomic data and pathological images for breast cancer prognosis prediction

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