Automated Gleason grading of prostate cancer tissue microarrays via deep learning
Eirini Arvaniti, Kim S. Fricker, Michaël Moret, Niels J. Rupp, Thomas Hermanns, Christian Daniel Fankhauser, Norbert Wey, Peter Johannes Wild, Jan H. Rüschoff, Manfred Claassen
This study develops a deep learning model to automate Gleason grading of prostate cancer tissue microarrays, achieving agreement with pathologists and expert-level patient stratification.
Scientific Reports · Aug 7, 2018Peer-reviewedBioinformatics