MedSRGAN: medical images super-resolution using generative adversarial networks.
Yuchong GuZitao ZengHaibin ChenJun WeiYaqin ZhangBinghui ChenYingqin LiYujuan QinQing XieZhuoren JiangYao LuPublished in: Multim. Tools Appl. (2020)
Keyphrases
- medical images
- super resolution
- low resolution
- high resolution
- image reconstruction
- medical imaging
- image restoration
- low resolution images
- anatomical structures
- medical image analysis
- deformable models
- image intensity
- super resolved
- image super resolution
- resolution enhancement
- high quality
- motion estimation
- super resolution reconstruction
- magnetic resonance imaging
- region of interest
- multi frame
- high resolution images
- higher resolution
- motion blur
- generative model
- multimodal medical images
- image patches
- depth map
- x ray
- super resolution algorithm