A novel approach for breast cancer detection using optimized ensemble learning framework and XAI

Raafat M. Munshi, Lucia Cascone, Nazik Alturki, Oumaima Saidani, Amal Alshardan, Muhammad Umer

Abstract: Highlights•This study presents a framework for breast cancer diagnosis using image & numerical features.•For image-based prognosis, the predictive model employs U-NET transfer learning.•An ensemble strategy (RF + SVM) is proposed using CNN features for breast cancer detection•The experiments involve both numerical features of dataset and those derived from the CNN model.•Proposed model is assessed by comparing its performance with state-of-the-art methodologies.