Breast Cancer Prediction using ML Techniques

Abstract

Breast cancer is one amongst the foremost dangerous kinds of cancer exists among ladies. The breast cancer is diagnosed using microscopic anatomy pictures . The aim of this paper is to classify different kinds of breast cancer using histology images. The classification of histology images can be effectively done by image process techniques. Among totally different image process algorithms, deep learning offers the most effective performance for image classification applications. There are different convolutional neural network(CNN) architectures used for classification purpose like AlexNet, Inception-Net, ResNet etc. Since conventional convolutional neural network.

Topics & Concepts