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Development and validation of a weakly supervised deep learning framework to predict the status of molecular pathways and key mutations in colorectal cancer from routine histology images: a retrospective study (2021)

First Author: Bilal M

Attributed to: MICA: Developing Micro-Community Analytics for Histology Landscapes (MiCAHiL) funded by MRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/s2589-7500(21)00180-1

PubMed Identifier: 34686474

Publication URI: http://europepmc.org/abstract/MED/34686474

Type: Journal Article/Review

Parent Publication: The Lancet Digital Health

Issue: 12

ISSN: 2589-7500