Classification of Breast Cancer Patients Using Neural Network Technique

This work develops an Artificial Neural Network (ANN) model for performing Breast Cancer (BC) classification tasks. The design of the considers studying different ANN architectures from literature and chooses one with best performance. aims to classify BC cases more systematically quickly. It provides facilities in field medicine detect breast cancer among women. is able achieve average accuracy 98.88 % run time 0.182 seconds. Using this model, can be carried out much faster than manual diagnosis good enough accuracy.