Neural network enables objective assessment of breast symmetry
Waltham — January 25, 2024 — A newly developed neural network is highly accurate in identifying key landmarks important in breast surgery – opening the potential for objective assessment of breast symmetry, suggests a study in the February issue of Plastic and Reconstructive Surgery®, the official medical journal of the American Society of Plastic Surgeons (ASPS). The journal is published in the Lippincott portfolio by Wolters Kluwer.
"Neural networks and machine learning have the potential to improve evaluation of breast symmetry in reconstructive ...


















