Convolutional Neural Network Based Image Classifier for Breast Cancer Histopathology Images

Abstract

This project is on “Convolutional Neural Network Based Image Classifier for Breast Cancer Histopathology Images”. Thousands of people around the globe die every year as result of Breast Cancer (BC). Breast Cancer stages are ranging from early curable stages to late metastatic stages. An early detection of breast cancer can save millions of lives each year. Cancer cells can be detected through several ways like breast MRI scan, Mammogram, breast Ultrasound and Histopathology images. In our research we have used publicly available breast cancer histopathology image dataset hosted at http://web.inf.ufpr.br/vri/breast-cancer-database. We have tried to develop automated malignant and benign breast cancer detection system which can detect cancer from the histopathology images and thus making it more efficient and diagnosis more scalable and less prone to error. This type of research can be extended further to apply on other type of cancer detection.