國立虎尾科技大學 |

Artificial intelligence in medical imaging technology = an introduction /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Artificial intelligence in medical imaging technology/ by Euclid Seeram, Vijay Kanade.
其他題名:	an introduction /
作者:	Seeram, Euclid.
其他作者:	Kanade, Vijay.
出版者:	Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:	xix, 212 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Biological Imaging. -
電子資源:	https://doi.org/10.1007/978-3-031-64049-0
ISBN:	9783031640490

Artificial intelligence in medical imaging technology = an introduction /
Seeram, Euclid.

Artificial intelligence in medical imaging technologyan introduction /[electronic resource] :by Euclid Seeram, Vijay Kanade. - Cham :Springer Nature Switzerland :2024. - xix, 212 p. :ill. (some col.), digital ;24 cm.

Chapter 1-Artificial Intelligence in Medical Imaging: A Brief Glance -- Chapter 2-AI Fundamentals -- Chapter 3-Principles of Machine Learning -- Chapter 4-Principles of Deep Learning -- Chapter 5-Image Processing and Analysis -- Chapter 6-AI in CT Image Reconstruction -- Chapter 7-AI Applications in Medical Imaging -- Chapter 8-Ethical and Regulatory Considerations -- Chapter 9-Future Trends and Challenges.

This book covers the principles, concepts, and applications of artificial intelligence in medical imaging technologies, specifically in the context of diagnostic imaging, such as radiography and radiological technology. First, artificial intelligence and its subsets machine learning and deep learning are described followed by a discussion of applications of these AI principles in medical imaging technologies. Finally, ethical questions, regulatory aspects, and future trends and challenges are also reviewed in this textbook. This book is intended for both students and practitioners in radiological technology, radiography, radiation therapy, nuclear medicine technology, diagnostic medical sonography, and biomedical engineering technology. Furthermore, residents in radiology, and medical physics students and related healthcare personnel (administrators and managers for example) may find this book useful.

ISBN: 9783031640490

Standard No.: 10.1007/978-3-031-64049-0doiSubjects--Topical Terms:

1388121
Biological Imaging.

LC Class. No.: RC78.7.D53

Dewey Class. No.: 616.0754

Artificial intelligence in medical imaging technology = an introduction /
LDR:02364nam a22003375a 4500 001 1135252
003 DE-He213
005 20240814130232.0
006 m d
007 cr nn 008maaau
008 241213s2024 sz s 0 eng d
020 $a 9783031640490 $q (electronic bk.)
020 $a 9783031640483 $q (paper)
024 7 $a 10.1007/978-3-031-64049-0 $2 doi
035 $a 978-3-031-64049-0
040 $a GP $c GP
041 0 $a eng
050 4 $a RC78.7.D53
072 7 $a MMP $2 bicssc
072 7 $a MED080000 $2 bisacsh
072 7 $a MKS $2 thema
082 0 4 $a 616.0754 $2 23
090 $a RC78.7.D53 $b S453 2024
100 1 $a Seeram, Euclid. $3 1075486
245 1 0 $a Artificial intelligence in medical imaging technology $h [electronic resource] : $b an introduction / $c by Euclid Seeram, Vijay Kanade.
260 $a Cham : $c 2024. $b Springer Nature Switzerland : $b Imprint: Springer,
300 $a xix, 212 p. : $b ill. (some col.), digital ; $c 24 cm.
347 $a text file $b PDF $2 rda
505 0 $a Chapter 1-Artificial Intelligence in Medical Imaging: A Brief Glance -- Chapter 2-AI Fundamentals -- Chapter 3-Principles of Machine Learning -- Chapter 4-Principles of Deep Learning -- Chapter 5-Image Processing and Analysis -- Chapter 6-AI in CT Image Reconstruction -- Chapter 7-AI Applications in Medical Imaging -- Chapter 8-Ethical and Regulatory Considerations -- Chapter 9-Future Trends and Challenges.
520 $a This book covers the principles, concepts, and applications of artificial intelligence in medical imaging technologies, specifically in the context of diagnostic imaging, such as radiography and radiological technology. First, artificial intelligence and its subsets machine learning and deep learning are described followed by a discussion of applications of these AI principles in medical imaging technologies. Finally, ethical questions, regulatory aspects, and future trends and challenges are also reviewed in this textbook. This book is intended for both students and practitioners in radiological technology, radiography, radiation therapy, nuclear medicine technology, diagnostic medical sonography, and biomedical engineering technology. Furthermore, residents in radiology, and medical physics students and related healthcare personnel (administrators and managers for example) may find this book useful.
650 2 4 $a Biological Imaging. $3 1388121
650 2 4 $a Artificial Intelligence. $3 646849
650 1 4 $a Radiology. $3 673943
650 0 $a Artificial intelligence $x Medical applications. $3 600038
650 0 $a Diagnostic imaging $x Data processing. $3 678955
700 1 $a Kanade, Vijay. $3 1456906
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-031-64049-0
950 $a Medicine (SpringerNature-11650)