Machine Learning model for Breast Cancer Prediction

The work which has been presented here mainly concentrates on the prediction of breast cancer. For this purpose, convolution neural network is used. In this work, previous records of breast cancer were taken in to account. Convolutional neural network has been used in the identification of breast cancer. In this method first of all pictures are organized. After that this organized picture is separated on the basis of its qualities. In the next step these pictures are developed in a new form and in the end prediction work is done. For the reduction of comparison time, space edge based pictures are taken. Because of that performance improves. In the introduction part of this work, fundamental ideology related to breast cancer prediction system is explained. In the next part of this work those researches are highlighted in which a lot of work is already done in the determination of breast cancer. Inspiration in addition to problem related research has been highlighted afterward. In the end, results of computerized calculation related to this research are shown. It has been clearly comes out of results that when edge based pictures are treated in convolution neural network, time and space reduced Which makes the performance of work better.