A deep learning-based framework for lung cancer survival analysis with biomarker interpretation
Abstract Background Lung cancer is the leading cause of cancer-related deaths in both men and women in the United States, and it has a much lower five-year survival rate than many other cancers. Accurate survival analysis is urgently needed for better disease diagnosis and treatment management. Resu...
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2020-03-01
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Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12859-020-3431-z |