Neural network based breast cancer detection using hybrid artificial bee colony and black hole algorithm

When there is development of malignant tumor in breast notably in female is known as Breast cancer. Detection in the early stage of this disease is the only feasible solution. In this paper a new approach has been proposed to detect this disease in the early stage by employing neural networks and optimizing them with the help of a hybrid of artificial bee colony algorithm and black hole algorithm. This combination of neural networks with nature inspired algorithm is able to understand the deep patterns inside the dataset and produce great results. Using the proposed approach an accuracy of 98.94% is achieved on the Breast Cancer Wisconsin (Diagnostic) Data Set and as a result, is a trustworthy alternative to human experts when it comes to the classify the breast cancer tumors.