Breast Cancer Detection in Mammogram Images using Machine Learning Methods and CLAHE Algorithm

Breast cancer is one of the most common cancer types. This is the second-leading cause of cancer-related death in women. It ranked 2^nd according to available data lung cancers is the only one causing more causalities. It’s critical to receive a breast cancer diagnosis quickly. The MIAS data set is used in this study to examine machine learning-based categorization approaches used to study breast cancer. Important image data is fetched from mammograms. We choose eight distinct classifiers and assess each one’s precision, recall, accuracy, and F-score. The analysis’s findings were higher than 69.88%.