Whole Mammogram Classification

"Whole Mammogram Classification" refers to the analysis and classification of entire breast X-ray images, aiming to automatically identify abnormal features in the images through techniques such as deep learning to assist doctors in early diagnosis and risk assessment of breast cancer. This method can improve diagnostic efficiency and accuracy, reduce missed and false diagnoses, and has significant clinical application value.