Article

Transcriptomic learning for digital pathology

2019-09-08

Abstract excerpt

Deep learning methods for digital pathology analysis have proved an effective way to address multiple clinical questions, from diagnosis to prognosis and even to prediction of treatment outcomes. They have also recently been used to predict gene mutations from pathology images, but no comprehensive evaluation of their potential for extracting molecular features from histology slides has yet been performed. We prop...

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Literature Corpus work: 16ad5710-88c4-50b7-a957-af6126ce1acd
DOI: 10.1101/760173

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