國立高雄大學圖資館 |

Biomedical image analysisspecial applications in MRIs and CT scans /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Biomedical image analysisby Pritpal Singh.
其他題名:	special applications in MRIs and CT scans /
作者:	Pritapala Singha.
出版者:	Singapore :Springer Nature Singapore :2024.
面頁冊數:	xi, 166 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Diagnostic imagingDigital techniques.
電子資源:	https://doi.org/10.1007/978-981-99-9939-2
ISBN:	9789819999392$q(electronic bk.)

Biomedical image analysisspecial 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$q(electronic bk.)

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

191915
Diagnostic imaging
--Digital techniques.

LC Class. No.: RC78.7.D53

Dewey Class. No.: 616.0754

Biomedical image analysisspecial applications in MRIs and CT scans /
LDR:02640nmm a2200361 a 4500 001 662833
003 DE-He213
005 20240228102033.0
006 m d
007 cr nn 008maaau
008 241203s2024 si s 0 eng d
020 $a 9789819999392$q(electronic bk.)
020 $a 9789819999385$q(paper)
024 7 $a 10.1007/978-981-99-9939-2 $2 doi
035 $a 978-981-99-9939-2
040 $a GP $c GP
041 0 $a eng
050 4 $a RC78.7.D53
072 7 $a TJF $2 bicssc
072 7 $a UYT $2 bicssc
072 7 $a COM016000 $2 bisacsh
072 7 $a TJF $2 thema
072 7 $a UYT $2 thema
082 0 4 $a 616.0754 $2 23
090 $a RC78.7.D53 $b P961 2024
100 1 $a Pritapala Singha. $3 975096
245 1 0 $a Biomedical image analysis $h [electronic resource] : $b special applications in MRIs and CT scans / $c by Pritpal Singh.
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2024.
300 $a xi, 166 p. : $b ill., digital ; $c 24 cm.
490 1 $a Brain informatics and health, $x 2367-1750
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.
650 0 $a Diagnostic imaging $x Digital techniques. $3 191915
650 0 $a Image processing $x Digital techniques. $3 182119
650 0 $a Imaging systems in medicine. $3 214978
650 0 $a Computer vision. $3 200113
650 1 4 $a Image Processing. $3 273705
650 2 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Machine Learning. $3 833608
650 2 4 $a Data Science. $3 913495
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Brain informatics and health. $3 820672
856 4 0 $u https://doi.org/10.1007/978-981-99-9939-2
950 $a Computer Science (SpringerNature-11645)