Breast Cancer Histopathology Image Classification using AlexNet
Ankit Kumar Titoriya, Shelly Sachdeva · 2019
Deep learning has achieved high performance in many fields like image classification, object detection etc. Recently many researchers have tried to carry out deep learning in medical image analysis. Convolutional Neural Network (CNN) has been set as a profound class of models in this field. It is a deep learning model which extracts the features of an image and then classify it. In this study, an analysis of Breast Cancer (BC) histopathology images is done using famous CNN architecture “AlexNet”. Histopathology images are the gold measure for the breast cancer diagnosis. Using deep learning for predicting breast cancer can prove to be very much effective in near future. Here a dataset, which consists 7909 images of 82 patients is used to train our model and later the image is successfully being classified. Impressive results and analysis are also achieved using this approach.