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Biomedical image analysis = special applications in MRIs and CT scans /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Biomedical image analysis/ by Pritpal Singh.
Reminder of title:	special applications in MRIs and CT scans /
Author:	Pritapala Singha.
Published:	Singapore :Springer Nature Singapore : : 2024.,
Description:	xi, 166 p. :ill., digital ;24 cm.
[NT 15003449]:	Chapter 1 Parkinson's disease MRIs analysis using fuzzy clustering approach -- Chapter 2 Parkinson's disease MRIs analysis using neutrosophic segmentation approach -- Chapter 3 Parkinson's disease MRIs analysis using neutrosophic clustering approach -- Chapter 4 Brain tumor segmentation using type-2 neutrosophic thresholding approach -- Chapter 5 COVID-19 scan image segmentation using quantum-clustering approach -- Chapter 6 Empirical Analyses.
Contained By:	Springer Nature eBook
Subject:	Diagnostic imaging - Digital techniques. -
Online resource:	https://doi.org/10.1007/978-981-99-9939-2
ISBN:	9789819999392

Biomedical image analysis = special applications in MRIs and CT scans /
Pritapala Singha.

Biomedical image analysisspecial applications in MRIs and CT scans /[electronic resource] :by Pritpal Singh. - Singapore :Springer Nature Singapore :2024. - xi, 166 p. :ill., digital ;24 cm. - Brain informatics and health,2367-1750. - Brain informatics and health..

Chapter 1 Parkinson's disease MRIs analysis using fuzzy clustering approach -- Chapter 2 Parkinson's disease MRIs analysis using neutrosophic segmentation approach -- Chapter 3 Parkinson's disease MRIs analysis using neutrosophic clustering approach -- Chapter 4 Brain tumor segmentation using type-2 neutrosophic thresholding approach -- Chapter 5 COVID-19 scan image segmentation using quantum-clustering approach -- Chapter 6 Empirical Analyses.

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.

ISBN: 9789819999392

Standard No.: 10.1007/978-981-99-9939-2doiSubjects--Topical Terms:

813376
Diagnostic imaging
--Digital techniques.

LC Class. No.: RC78.7.D53

Dewey Class. No.: 616.0754

Biomedical image analysis = special applications in MRIs and CT scans /
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505 0 $a Chapter 1 Parkinson's disease MRIs analysis using fuzzy clustering approach -- Chapter 2 Parkinson's disease MRIs analysis using neutrosophic segmentation approach -- Chapter 3 Parkinson's disease MRIs analysis using neutrosophic clustering approach -- Chapter 4 Brain tumor segmentation using type-2 neutrosophic thresholding approach -- Chapter 5 COVID-19 scan image segmentation using quantum-clustering approach -- Chapter 6 Empirical Analyses.
520 $a 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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