Abstract: Artificial intelligence (AI) is increasingly studied for mammographic image analysis, but model performance depends on preprocessing, dataset design, and evaluation choices. This study tested whether focusing a traditional machine-learning pipeline on an annotated lesion improves classification of benign versus malignant abnormalities.