Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks

Hoo-Chang Shin, Neil A Tenenholtz, Jameson K Rogers +5

Data diversity is critical to success when training deep learning models. Medical imaging data sets are often imbalanced as pathologic findings are generally rare, which introduces…