BreastGAN: Artificial Intelligence-Enabled Breast Augmentation Simulation.

Christian Chartier Ayden WattOwen LinAkash ChandawarkarJames LeeElizabeth Hall-Findlay

Published in: Aesthetic surgery journal. Open forum (2021)

This study features a portable, cost-effective neural network trained on real clinical images and designed to simulate surgical results following bilateral breast augmentation. Tools trained on a larger dataset of standardized surgical image pairs will be the subject of future studies.

Keyphrases

artificial intelligence
deep learning
neural network
machine learning
big data
convolutional neural network
resistance training
soft tissue
current status
finite element