A Novel Breast Cancer Image Classification Model Based On Multiscale Texture Feature Analysis And Dynamic Learning

A novel unsupervised breast cancer image classification model based on multiscale texture analysis and a dynamic learning strategy for mammograms is proposed to assist medical personnel in reducing workload and improving accuracy in breast cancer diagnosis.