The Comparative Study of Deep Learning Neural Network Approaches for Breast Cancer Diagnosis

Breast cancer is one of the life threatening that leads to most death due among women. Early diagnosis might help reduce mortality. Thus, this research aims study on different approaches deep learning neural network model for breast early detection better prognosis. The performance such as Artificial Neural Network (ANN), Recurrent (RNN) and Convolution (CNN) are evaluated using dataset from University Wisconsin. findings show ANN achieved high accuracy 99.9 % compared others in detecting cancer. able deliver results with provided dataset. However, more improvement needed ensure approach used reliable enough diagnosis.