CT image super-resolution reconstruction based on multi-scale residual network

吴 磊 WU Lei; 吕国强 LYU Guo-qiang; 赵 晨 ZHAO Chen; 盛杰超 SHENG Jie-chao; 冯奇斌 FENG Qi-bin

doi:10.3788/yjyxs20193410.1006

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CT image super-resolution reconstruction based on multi-scale residual network

吴磊 WU Lei 吕国强 LYU Guo-qiang 赵晨 ZHAO Chen 盛杰超 SHENG Jie-chao 冯奇斌 FENG Qi-bin

Year: 2019 Journal: Chinese Journal of Liquid Crystals and Displays Vol: 34 (10)Pages: 1006-1012 Publisher: Science Press

DOI: 10.3788/yjyxs20193410.1006

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Keywords:

Residual Scale (ratio) Computer science Artificial intelligence Computer vision Image (mathematics) Superresolution Resolution (logic) Geology Cartography Geography Algorithm

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Image Processing Techniques and Applications

Physical Sciences → Engineering → Media Technology

Advanced Image Processing Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Medical Imaging Techniques and Applications

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

CT image super-resolution reconstruction based on multi-scale residual network

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