Generative Adversarial Networks in Medical Image augmentation: A review
367 Citations•2022•
Yizhou Chen, Xu-Hua Yang, Zihan Wei
A comprehensive and systematic review and analysis of medical image augmentation work are carried out, and the existing limitations of this type of model are discussed and possible research directions are suggested.
Abstract
We discuss GAN-based medical image augmentation work in detail. This method effectively alleviates the challenge of limited training samples for medical image diagnosis and treatment models. It is hoped that this review will benefit researchers interested in this field.