This paper synthesizes mp-MRI data for prostate cancer detection.
problem Synthesizing clinically significant prostate cancer MRI data.
method Semi-supervised adversarial learning with StitchLayer and auxiliary distance maximization.
result Synthesizes high-quality mp-MRI images with distinguishable prostate cancer lesions.