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Artificial intelligence in medical i...

Seeram, Euclid.

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Artificial intelligence in medical imaging technology = an introduction /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Artificial intelligence in medical imaging technology/ by Euclid Seeram, Vijay Kanade.
Reminder of title:	an introduction /
Author:	Seeram, Euclid.
other author:	Kanade, Vijay.
Published:	Cham :Springer Nature Switzerland : : 2024.,
Description:	xix, 212 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Diagnostic imaging - Data processing. -
Online resource:	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:

817500
Diagnostic imaging
--Data processing.

LC Class. No.: RC78.7.D53

Dewey Class. No.: 616.0754

Artificial intelligence in medical imaging technology = an introduction /
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