In this project, we classified the type of cancerous mass. First, we extracted the features of Grey-Level Co-Occurrence Matrix (GLCM), Grey Level Difference Matrix (GLDM), Gray-Level Run-Length Matrix (GLRLM), and Nakagami Distribution Parameters from the ROI section of the images, and then we classified the desired features using the models of Multilayer Perceptron (MLP), K-Nearest Neighbor (KNN), and Support Vector Machine (SVM).