prostate cancer | Wouter Bulten

Pathologist-level Gleason grading using artificial intelligence (AI) & deep learning

We developed a fully automated deep learning system to grade prostate biopsies using 5759 biopsies from 1243 patients, and showed that this system achieved pathologist-level performance.

Unsupervised Cancer Detection using Deep Learning and Adversarial Autoencoders

Prostate cancer is graded based on distinctive patterns in the tissue. At MIDL2018 I presented an unsupervised deep learning method, based on clustering adversarial autoencoders, to train a system to detect prostate cancer without using labeled data.