Fig. 2From: Anatomically guided self-adapting deep neural network for clinically significant prostate cancer detection on bi-parametric MRI: a multi-center studyCreating the probabilistic zone masks. The ProstateX data was used to train a 3D nnU-Net for creating probabilistic prostate zone masks on the PI-CAI training data. Afterward, the probabilistic masks were used to augment the ensemble model's clinically significant prostate cancer detection performanceBack to article page