IEEE Access
(Jan 2018)
IEEE Access Special Section Editorial: Advanced Signal Processing Methods In Medical Imaging
Yu-Dong Zhang,
Yin Zhang,
Zhengchao Dong,
Ti-Fei Yuan,
Liangxiu Han,
Ming Yang,
Carlo Cattani,
Huimin Lu
Affiliations
Yu-Dong Zhang
Department of Informatics, University of Leicester, Leicester, U.K.
Yin Zhang
School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan, China
Zhengchao Dong
Translational Imaging Division & MRI Unit, New York State Psychiatric Institute, Columbia University, New York, NY, USA
Ti-Fei Yuan
Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center School of Medicine Shanghai Jiao Tong University, Shanghai, China
Liangxiu Han
School of Computing, Mathematics, and Digital Technology (SCMDT), Manchester Metropolitan University, Manchester, U.K.
Ming Yang
Department of Radiology, Nanjing Children’s Hospital, Nanjing Medical University, Nanjing, China
Carlo Cattani
Engineering School (DEIM), University of Tuscia, Viterbo, Italy
Huimin Lu
Department of Mechanical and Control Engineering, Kyushu Institute of Technology, Kitakyushu, Japan
DOI
https://doi.org/10.1109/ACCESS.2018.2875308
Journal volume & issue
Vol. 6
pp.
61812
– 61818
Abstract
Read online
Medical Imaging is a technique to create visual representations of the interior of the body, with the aim of making accurate diagnoses and optimized treatments. Many medical imaging techniques are widely used to produce images, such as computer tomography (CT), ultrasound (US), positron emission tomography (PET), single photon emission computed tomography (SPECT), and magnetic resonance imaging (MRI)/functional MRI (fMRI).
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