Breast Cancer Detection using Convolutional Neural Network Models

Abstract

This research paper discusses eight distinct convolutional neural network models for detection of breast cancer with the help of histopathology images. The eight different models are broadly classified into four main models, namely, VGC 16, DenseNet 201, MobileNet V2, and Inception V3, and use of optimizers for deriving different training and validity accuracies. This research paper compares all the 8 models on the basis of their accuracies and losses to determine a preferable model that can be used for breast cancer detection.