Prostatic Cells Classification Using Deep Learning

Abstract

Human prostate cancer PC-3 cell line is widely used in cancer research. Previously, Zinc- Resistant variant was described characteristically by higher dry cellular mass determined by quantitative phase imaging. This work aims to classify these 2 cell types into corresponding categories using machine learning methods. We have achieved 97.5% accuracy with the correct preprocessing using Res-Net network.