Article

Predicting cancer outcomes from histology and genomics using convolutional networks

2017-10-03

Abstract excerpt

<h4>ABSTRACT</h4> Cancer histology reflects underlying molecular processes and disease progression, and contains rich phenotypic information that is predictive of patient outcomes. In this study, we demonstrate a computational approach for learning patient outcomes from digital pathology images using deep learning to combine the power of adaptive machine learning algorithms with traditional survival models. We il...

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Literature Corpus work: 2a600f44-b6a7-5204-a8c5-6f4f8374927c
DOI: 10.1101/198010

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