Feasibility study of deep convolutional generative adversarial networks to generate mammography images

Artificial intelligence and dermatology: opportunities, challenges, and future directions

“…One interesting application is data augmentation, which is the use of a GAN to synthesize real-appearing images of otherwise rare medical conditions in order to train better AI algorithms. This has already been prototyped for synthetic images 39,40 ranging from skin lesions to mammograms 41,42 and echocardiograms. 43 Consider the recently developed DNN for the diagnosis of nonpigmented skin cancer.…”