Ensemble Deep Learning for Histopathological Breast Cancer Detection

An ensemble deep learning approach for classifying histopathological images of breast cancer using the BreaKHis dataset is proposed, highlighting the effectiveness of ensemble deep learning in improving classification performance for breast cancer histopathology and suggesting its potential for aiding pathologists in clinical decision-making.