Medical Imaging and Computer-Aided Diagnosis, 1st ed. 2020 Proceeding of 2020 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2020) Lecture Notes in Electrical Engineering Series, Vol. 633
Coordonnateurs : Su Ruidan, Liu Han
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.
Optical and Photo-acoustic Imaging.- Image Analysis and Signal Processing.- Shape Representation and Analysis.- Image Reconstruction.- Imaging and Genomics.- Image Guided Surgery.- Image-Guided Interventions and Surgery.- Segmentation.- Pattern recognition.- Feature extraction.- Classifier design.- Machine learning including deep learning.- Radiomics.- CAD workstation design.- Human-computer interaction.
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 and Electronic Systems published by American Scientific Publisher from 2012 to 2016. He was an Associate Editor for the Journal of Granular Computing Published by Springer, an Associate Editor for the Journal of Intelligent& Fuzzy Systems published by IOS Press, and a Review Board Member for Applied Intelligence.
Dr. Ruidan Su was the Guest Editor for Multimedia Tools and Applications by Springer for Special Issue on Practical Augmented Reality (AR) Technology and its Applications, a Guest Editor for the Journal of International Journal of Hydrogen Energy, and a Proceeding Editor for the Proceeding of 2018 & 2019 International Conference on Image and Video Processing, and Artificial Intelligence (IVPAI 2018 & 2019, published by SPIE). He was a Conference Chair for 2018 & 2019 International Conference on Image and Video Processing, and Artificial Intelligence, a conference Chair for 2018 3rdInternational Conference on Computer, Communication and Computational Sciences, and a Conference Program Committee Member for 18th International Conference on Machine Learning and Cybernetics
Dr. Ruidan Su has been a Reviewer for several leading journals, such as Information Sciences, IEEETransac
Date de parution : 07-2021
Ouvrage de 244 p.
15.5x23.5 cm
Date de parution : 07-2020
Ouvrage de 244 p.
15.5x23.5 cm
