Generative Adversarial Networks in Medical Image augmentation: A review

With the development of deep learning, the number of training samples for medical image-based diagnosis and treatment models is increasing. Generative Adversarial Networks (GANs) have attracted attention in medical image processing due to their excellent image generation capabilities and have been w...

Full description

Saved in:

Bibliographic Details
Published in:	Computers in biology and medicine Vol. 144; p. 105382
Main Authors:	Chen, Yizhou, Yang, Xu-Hua, Wei, Zihan, Heidari, Ali Asghar, Zheng, Nenggan, Li, Zhicheng, Chen, Huiling, Hu, Haigen, Zhou, Qianwei, Guan, Qiu
Format:	Journal Article
Language:	English
Published:	United States Elsevier Ltd 01.05.2022 Elsevier Limited
Subjects:	Augmentation Data augmentation Datasets Deep learning Diagnosis Generative adversarial networks Image processing Image Processing, Computer-Assisted - methods Image synthesis Internal Medicine Machine learning Medical diagnosis Medical image Medical imaging Medical research Methods Neural Networks, Computer Optimization Organs Other Researchers Reviews Sample size Statistical methods Training Augmentation Deep learning Medical image Generative adversarial networks Image synthesis
ISSN:	0010-4825, 1879-0534, 1879-0534
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!