Prostate Cancer Classification Using Deep Learning Models

Abstract

A frequent cancer in male community is Prostate cancer. If it is identified in early stages, then it will be curable. This cancer is diffusing all over the world including France, USA, Swedon and Ireland etc. More than 25,400 males are affected by this cancer. This gland looks like walnut. Most of the times it grows slowly in many men, unfortunately it grows exponentially in some people. It creates blood during urination and in semen. Early-stage identification needs close analysis and complete diagnosis with medications. For this purpose, many deep learning methods are suggested. In this paper, convolution layer based deep learning model has been used. Out of this, Visual Geometry Group-16 (VGG-16) model yields accuracy of 97.74% and mobile net model gives accuracy of 86.24%. This work suggests that all the cancers can be treated with the kit of deep learning models assisted software.