Medical Imaging and Computer-Aided Diagnosis

Medical Imaging and Computer-Aided Diagnosis Synopsis

This book covers virtually all aspects of image formation in medical imaging, including systems based on ionizing radiation (x-rays, gamma rays) and non-ionizing techniques (ultrasound, optical, thermal, magnetic resonance, and magnetic particle imaging) alike. In addition, it discusses the development and application of computer-aided detection and diagnosis (CAD) systems in medical imaging. Given its coverage, the book provides both a forum and valuable resource for researchers involved in image formation, experimental methods, image performance, segmentation, pattern recognition, feature extraction, classifier design, machine learning / deep learning, radiomics, CAD workstation design, human-computer interaction, databases, and performance evaluation.

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About Ruidan Su

Dr. Ruidan Su received his M.Sc. in Software Engineering from Northeastern University, China, in 2010, and his Ph.D. degree in Computer Application Technology from Northeastern University, China, in 2014. He is currently an Assistance Professor of Shanghai Advanced Research Institute, Chinese Academy of Sciences. His field of science is digital image processing and artificial intelligence, video system processing, machine learning, computational intelligence, software engineering, data analytics, system optimization, and multi-population genetic algorithm. Dr. Ruidan Su is an IEEE Senior Member. He has published 22 papers in refereed journals and conference proceedings. He was the Founder & Editor-in-Chief of Journal of Computational Intelligence ...