A Novel, Deep Learning-Based, Automatic Photometric Analysis Software for Breast Aesthetic Scoring

Abstract

Background Breast aesthetics evaluation often relies on subjective assessments, leading to the need for objective, automated tools. We developed the Seoul Breast Esthetic Scoring Tool (S-BEST), a photometric analysis software that utilizes a DenseNet-264 deep learning model to automatically evaluate breast landmarks and asymmetry indices.

Keywords

• breast cancer
• aesthetics
• deep learning