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)
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
Volume: 3
Parent Publication: The Lancet. Digital health
Issue: 12
ISSN: 2589-7500