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Synopsis
This book provides an in-depth study of biomedical image analysis. It reviews and summarizes previous research work in biomedical image analysis and also provides a brief introduction to other computation techniques, such as fuzzy sets, neutrosophic sets, clustering algorithm and fast forward quantum optimization algorithm, focusing on how these techniques can be integrated into different phases of the biomedical image analysis. In particular, this book describes novel methods resulting from the fuzzy sets, neutrosophic sets, clustering algorithm and fast forward quantum optimization algorithm. It also demonstrates how a new quantum-clustering based model can be successfully applied in the context of clustering the COVID-19 CT scans. Thanks to its easy-to-read style and the clear explanations of the models, the book can be used as a concise yet comprehensive reference guide to biomedical image analysis, and will be valuable not only for graduate students, but also for researchers and professionals working for academic, business and government institutes and medical colleges.
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À propos de l?auteur
PRITPAL SINGH, assistant professor in Central University of Rajasthan, India. He has an academic experience of more than 7 years.
He served as a Senior Postdoctoral Fellow in the Department of Electrical Engineering at the Taipei National University of Technology, Taiwan, from 2019-2020. He is working as an Adjunct Professor (Research) from November, 2020 in the Institute of Theoretical Physics, Jagiellonian University,
Poland. He is an active research member of Bio-Data Research Group (under TEAM-NET Program) in the Institute of Theoretical Physics, Jagiellonian University. His research interests include ambiguous set theory, soft computing, optimization algorithms (especially quantum-based optimization), time series forecasting, image analysis, fMRI data analysis, machine learning, mathematical modeling and simulation. He has published numerous papers in refereed SCI journals, conference proceedings, book chapters and book.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Biomedical Image Analysis: Special Applications in MRIs and CT scans (Brain Informatics and Health)
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Springer, 2024
ISBN 10 : 9819999383
ISBN 13 : 9789819999385
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Biomedical Image Analysis : Special Applications in Mris and Ct Scans
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ISBN 13 : 9789819999385
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Biomedical Image Analysis
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Springer Nature Singapore, 2024
ISBN 10 : 9819999383
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides in-depth description of algorithmsDiscusses various biomedical image segmentation and clustering algorithmsInvestigates different image analysis methods applied to MRIs and CT scansPRITPAL SINGH, assista. N° de réf. du vendeur 1289955855
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Biomedical Image Analysis: Special Applications in MRIs and CT scans (Brain Informatics and Health)
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Biomedical Image Analysis : Special Applications in Mris and Ct Scans
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Biomedical Image Analysis
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides an in-depth study of biomedical image analysis. Itreviews and summarizes previous research work in biomedical image analysis andalso provides a brief introduction to other computation techniques, such asfuzzy sets, neutrosophic sets, clustering algorithm and fast forward quantumoptimization algorithm, focusing on how these techniques can be integrated intodifferent phases of the biomedical image analysis. In particular, this bookdescribes novel methods resulting from the fuzzy sets, neutrosophic sets,clustering algorithm and fast forward quantum optimization algorithm. It alsodemonstrates how a new quantum-clustering based model can be successfullyapplied in the context of clustering the COVID-19 CT scans. Thanks to itseasy-to-read style and the clear explanations of the models, the book can beused as a concise yet comprehensive reference guide to biomedical imageanalysis, and will be valuable not only for graduate students, but also forresearchers and professionals working for academic, business and governmentinstitutes and medical colleges. 180 pp. Englisch. N° de réf. du vendeur 9789819999385
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Biomedical Image Analysis
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ISBN 10 : 9819999383
ISBN 13 : 9789819999385
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Buch. Etat : Neu. Neuware -This book provides an in-depth study of biomedical image analysis. It reviews and summarizes previous research work in biomedical image analysis and also provides a brief introduction to other computation techniques, such as fuzzy sets, neutrosophic sets, clustering algorithm and fast forward quantum optimization algorithm, focusing on how these techniques can be integrated into different phases of the biomedical image analysis. In particular, this book describes novel methods resulting from the fuzzy sets, neutrosophic sets, clustering algorithm and fast forward quantum optimization algorithm. It also demonstrates how a new quantum-clustering based model can be successfully applied in the context of clustering the COVID-19 CT scans. Thanks to its easy-to-read style and the clear explanations of the models, the book can be used as a concise yet comprehensive reference guide to biomedical image analysis, and will be valuable not only for graduate students, but also for researchers and professionals working for academic, business and government institutes and medical colleges.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 180 pp. Englisch. N° de réf. du vendeur 9789819999385
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Biomedical Image Analysis : Special Applications in MRIs and CT scans
Edité par
Springer Nature Singapore, 2024
ISBN 10 : 9819999383
ISBN 13 : 9789819999385
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides an in-depth study of biomedical image analysis. It reviews and summarizes previous research work in biomedical image analysis and also provides a brief introduction to other computation techniques, such as fuzzy sets, neutrosophic sets, clustering algorithm and fast forward quantum optimization algorithm, focusing on how these techniques can be integrated into different phases of the biomedical image analysis. In particular, this book describes novel methods resulting from the fuzzy sets, neutrosophic sets, clustering algorithm and fast forward quantum optimization algorithm. It also demonstrates how a new quantum-clustering based model can be successfully applied in the context of clustering the COVID-19 CT scans. Thanks to its easy-to-read style and the clear explanations of the models, the book can be used as a concise yet comprehensive reference guide to biomedical image analysis, and will be valuable not only for graduate students, but also for researchers and professionals working for academic, business and governmentinstitutes and medical colleges. N° de réf. du vendeur 9789819999385
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Biomedical Image Analysis : Special Applications in Mris and Ct Scans
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Biomedical Image Analysis: Special Applications in MRIs and CT scans (Brain Informatics and Health)
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