<![CDATA[10 Abnormality-Focused Two-Phase Deep Learning for Mammographic Lesion Segmentation: Strategies and Limitations]]>

Summary

A 2-phase U-Net deep learning model trained on abnormality-focused patches achieved 77.8% detection of mammographic lesions on a test set, with perfect detection of large lesions but resolution-dependent performance issues for small abnormalities.