Biomedical Image Analysis (eBook)
XI, 166 Seiten
Springer Nature Singapore (Verlag)
978-981-99-9939-2 (ISBN)
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.
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 UniversityHis
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.
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.
Erscheint lt. Verlag | 28.2.2024 |
---|---|
Reihe/Serie | Brain Informatics and Health |
Zusatzinfo | XI, 166 p. 1 illus. |
Sprache | englisch |
Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
Informatik ► Grafik / Design ► Digitale Bildverarbeitung | |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Medizin / Pharmazie ► Gesundheitsfachberufe | |
Medizin / Pharmazie ► Medizinische Fachgebiete ► Radiologie / Bildgebende Verfahren | |
Technik ► Elektrotechnik / Energietechnik | |
Schlagworte | Clustering • CT scans • Fuzzy Set • mris • Neutrosophic Set • Segmentation |
ISBN-10 | 981-99-9939-1 / 9819999391 |
ISBN-13 | 978-981-99-9939-2 / 9789819999392 |
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