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Proceedings of 2021 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2021), 1st ed. 2022 Medical Imaging and Computer-Aided Diagnosis Lecture Notes in Electrical Engineering Series, Vol. 784

Langue : Anglais

Coordonnateurs : Su Ruidan, Zhang Yu-Dong, Liu Han

Couverture de l’ouvrage Proceedings of 2021 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2021)

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. Also there will be a special track on computer-aided diagnosis on COVID-19 by CT and X-rays images.

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. 

Medical Imaging.- Computer Aided Detection/Diagnosis.- Machine learning and Deep learning.- Others.

Dr. Ruidan Su received his MSc 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, Multi Population Genetic Algorithm.

Dr. Su is an IEEE Senior Member. He has published 26 papers in referred journals, conference proceedings. He was the Founder & Editor-in-Chief of Journal of Computational Intelligence and Electronic Systems published by American Scientific Publisher from 2012-2016. 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 byIOS Press, a Review Board Member for Applied Intelligence.

Dr. Su was the guest editor for Multimedia Tools and Applications by Springer for Special Issue on Practical Augmented Reality (AR) Technology and its Applications and Special Issue on Deep Processing of Multimedia Data, a Proceeding Editor for the Proceeding of 2018 & 2019 & 2020 International Conference on Image and Video Processing, and Artificial Intelligence (IVPAI 2018 & 2019 & 2020, Published by SPIE). He was a Conference Chair for 2018 & 2019 International conference on Image, Video Processing and Artificial Intelligence, a conference Chair for 2018 3rd International Conference on Computer, Communication and Computational Sciences, 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, IEEE Transactions on Cybernetics, IEEE Access, Applied Intelligence, Internation
Offers a valuable reference guide in related fields of medical imaging and computer-aided diagnosis (CAD) Interprets current trends in the field and makes them accessible to a broad readership Includes contents of computer-aided diagnosis on COVID-19 by CT and X-rays images

Date de parution :

Ouvrage de 439 p.

15.5x23.5 cm

Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).

348,14 €

Ajouter au panier

Date de parution :

Ouvrage de 439 p.

15.5x23.5 cm

Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).

348,14 €

Ajouter au panier