Replication Data for: Automated Gleason grading of prostate cancer tissue microarrays via deep learning.
Eirini Arvaniti, Fricker, Kim, Moret, Michael, Rupp, Niels, Hermanns, Thomas, Fankhauser, Christian, Wey, Norbert, Wild, Peter, Rüschoff, Jan Hendrik, Claassen, Manfred · Harvard Dataverse · 2018
H&E stained images from five prostate cancer Tissue Microarrays (TMAs) and corresponding Gleason annotation masks. In the masks, pixel indices correspond to classes as follows: 0=Benign (green), 1=Gleason_3 (blue), 2=Gleason_4 (yellow), 3=Gleason_5 (red), 4=unlabelled (white).