Semi-Automatic Classification of Prostate Cancer from Multi-Parametric MR Imaging Using Novel Image Sequences and 3D Convolutional Neural Networks
1. Abstract The role of multi-parametric Magnetic Resonance Imaging (mp-MRI) is becoming increasingly important in the diagnosis of clinical severity of Prostate Cancer (PCa). However, mp-MRI images usually contain several unaligned 3D sequences, such as DWI image sequences and T2-weighted image sequences, and there are many images among the entirety of 3D sequence images that […]