Developing a Breast Cancer Diagnosis System using Artificial Neural Networks

Abstract

Breast cancer is the most common type of cancer in women and is the second leading cause of cancer deaths worldwide. Early detection followed by appropriate cancer treatment can reduce the deadly risk. Medical professionals can make mistakes while identifying the disease. The help of artificial intelligence techniques such as neural networks can substantially improve the diagnosis accuracy. In this study, we developed a system for diagnosis of breast cancer using Artificial Neural Networks (ANNs) which can assist the doctors in diagnosis of the disease quickly and accurately. The results showed the accuracy and the reliability of the proposed diagnosis system with sensitivity, specificity and accuracy reached96.2%, 100% and99% respectively.