GLCM and CNN Deep Learning Model for Improved MRI Breast Tumors Detection

Breast cancer is one of the most common types among Iraqi women. MRI has been used in detection breast tumors for its efficient performance diagnosis process providing high accuracy. In this paper, image data from 89 patients were classified using GLCM and CNN feature extraction methods. Four models evaluated consisting GLCM, CNN, combined features based models. The statistical ANOVA selection method was to reduce redundant features. reduced subset fed classifier obtaining either normal or abnormal images. proposed assessed terms accuracy, precision, recall F1-score. model provided 100% classification