Prostate Cancer Classifier based on Three-Dimensional Magnetic Resonance Imaging and Convolutional Neural Networks

The main reason for this research is the worldwide existence of a large number of prostate cancers. This article underlines how necessary medical imaging is, in association with artificial intelligence, in early detection of this medical condition. The diagnosis of a patient with prostate cancer is conventionally made based on multiple biopsies, histopathologic tests and other procedures that are time consuming and directly dependent on the experience level of the radiologist. The deep learning algorithms reduce the investigation time and could help medical staff. This work proposes a binary classification algorithm which uses convolutional neural networks to predict whether a 3D MRI scan contains a malignant lesion or not. The provided result can be a starting point in the diagnosis phase. The investigation, however, should be finalized by a human expert.