Breast Cancer Image Classification into Benign and Malignant using an Intelligent CNN Framework

This study investigates the use of the publicly available Breast Cancer Histopathological (BreakHis) image database, which contains benign and malignant samples across multiple magnifications, and applies CNN-based feature learning and integrates multi-resolution information to improve classification performance.