02912nam a22004455i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050001300153072001600166072002300182072001500205100007700220245013500297250001800432264006900450300006500519336002600584337002600610338003600636347002400672505041500696520092101111650001502032650002902047650003202076650001502108650002902123650002402152700007602176710003402252773002602286776003602312776003602348776003602384856004602420978-3-031-64049-0DE-He21320251030112853.0cr nn 008mamaa240814s2024    sz |    s    |||| 0|eng d  a97830316404907 a10.1007/978-3-031-64049-02doi 4aR895-920 7aMMP2bicssc 7aMED0800002bisacsh 7aMKS2thema1 aSeeram, Euclid.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut10aArtificial Intelligence in Medical Imaging Technologyh[electronic resource] :bAn Introduction /cby Euclid Seeram, Vijay Kanade.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aXIX, 212 p. 93 illus., 85 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda0 aChapter 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.  aThis 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. . 0aRadiology. 0aArtificial intelligence. 0aImaging systems in biology.14aRadiology.24aArtificial Intelligence.24aBiological Imaging.1 aKanade, Vijay.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303164048308iPrinted edition:z978303164050608iPrinted edition:z978303164051340uhttps://doi.org/10.1007/978-3-031-64049-0