000 03236nam a22005295i 4500
001 978-3-031-64049-0
003 DE-He213
005 20251030112853.0
007 cr nn 008mamaa
008 240814s2024 sz | s |||| 0|eng d
020 _a9783031640490
_9978-3-031-64049-0
024 7 _a10.1007/978-3-031-64049-0
_2doi
050 4 _aR895-920
072 7 _aMMP
_2bicssc
072 7 _aMED080000
_2bisacsh
072 7 _aMKS
_2thema
100 1 _aSeeram, Euclid.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_982346
245 1 0 _aArtificial Intelligence in Medical Imaging Technology
_h[electronic resource] :
_bAn Introduction /
_cby Euclid Seeram, Vijay Kanade.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXIX, 212 p. 93 illus., 85 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _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.
520 _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. .
650 0 _aRadiology.
650 0 _aArtificial intelligence.
_958441
650 0 _aImaging systems in biology.
_968562
650 1 4 _aRadiology.
650 2 4 _aArtificial Intelligence.
_958441
650 2 4 _aBiological Imaging.
_968563
700 1 _aKanade, Vijay.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_982347
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031640483
776 0 8 _iPrinted edition:
_z9783031640506
776 0 8 _iPrinted edition:
_z9783031640513
856 4 0 _uhttps://doi.org/10.1007/978-3-031-64049-0
912 _aZDB-2-SME
912 _aZDB-2-SXM
999 _c62468
_d62468