Machine learning enabled prediction of digital biomarkers from whole slide histopathology images
Zachary R McCaw,
Anna Shcherbina,
Yajas Shah
et al.
Abstract:Current predictive biomarkers generally leverage technologies such as immunohis-tochemistry or genetic analysis, which may require specialized equipment, be time-intensive to deploy, or incur human error. In this paper, we present an alternative approach for the development and deployment of a class of predictive biomarkers, leveraging deep learning on digital images of hematoxylin and eosin (H&E)-stained biopsy samples to simultaneously predict a range of molecular factors that are relevant to treatment s… Show more
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