DIAGNOSIS OF BREAST CANCER BY LEVERAGING A DEEP LEARNING MODEL

Abstract

Breast cancer is one of the deadliest diseases that afflicts women. Early detection of this disease is very crucial as it reduces the death rate significantly. In this project, we have tried to diagnose this dreadful disease by developing a deep learning model after a thorough analysis of the data set named ”Breast Cancer Wisconsin (Diagnostic) Data Set” available on Kaggle. This paper demonstrates the use of the same deep learning neural network model that boasts a 97 percent accuracy for the detection of breast cancer.