KLK3 and neoplasm: For this, we use mpMRI images (T2W, ADC, high b-value) and the corresponding parametric clinical data (PSA, gross tumor volume, gross prostate volume, and PSA density) as input to train EF, IF and LF networks as shown in Fig. 1(B-D), using an architecture that is based on a 3D-Unet [38]- Fig. 1(A).