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Medical Imaging and Computer-Aided Diagnosis, 1st ed. 2023 Proceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2022) Lecture Notes in Electrical Engineering Series, Vol. 810

Langue : Anglais

Coordonnateurs : Su Ruidan, Zhang Yudong, Liu Han, F Frangi Alejandro

Couverture de l’ouvrage Medical Imaging and Computer-Aided Diagnosis

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.- COVID-19 image processing.- Segmentation.- Pattern recognition.- Feature extraction.- Classifier design.- Machine learning including deep learning.- Radiomics.- CAD workstation design.- Human-computer interaction.- Computer Aided Diagnosis on COVID-19.

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 was an Assistance Professor of Shanghai Advanced Research Institute, Chinese Academy of Sciences during 2015-2020. He joined Department of Computer Sciences and Engineering, Shanghai Jiao Tong University from 2021. His fields of science include artificial intelligence, Machine learning, Bidirectional intelligence, Computational Intelligence, 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 is 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, 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 Transacti

Good reference for both students and professional researchers in related fields of medical imaging

Accurately interpret trends in the field and make the public know

Collect hot topic discussions and conduct in-depth analysis

Date de parution :

Ouvrage de 584 p.

15.5x23.5 cm

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

Prix indicatif 242,64 €

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