This study presents a novel hybrid ensemble deep learning model for breast cancer detection and classification using ultrasound images. The proposed framework integrates image enhancement, deep feature extraction, and machine learning approaches to improve diagnostic accuracy and develop an effective computer-aided diagnosis system for early breast cancer detection and differentiation between benign and malignant cases.
