Role Of Artificial Neural Networks In Breast Cancer Detection

Abstract

Cancer is some of the most severe diseases, yet there is no long-term level of care, according to reports. The most popular sort of cancer is breast cancer (BC). Based on the National Breast Cancer Institute, there will be over 281,550 new cancer disease cases and 49,290 reported cases of non-invasive breast cancer in the United States alone in 2021. (NBCF). To place all such estimates into context, patients have a 99% chance of survival because 64% of such possible circumstances are treated early in the disease's progression. An artificial neural network ANN is used in this research to develop a model that can predict breast diseases like cancer. By supporting identification and treatment, the appropriate use of artificial intelligence (AI) and machine learning (ML) in the identification and treatment of a variety of fatal diseases has promoted patient survival rates. The proposed model outperforms the Just JNN environment algorithm, which acquires an accuracy of 88.24%.