000 03495cam a2200553M 4500
001 9780367229184
003 FlBoTFG
005 20220509193017.0
006 m o d
007 cr |n|||||||||
008 191204s2019 xx o 000 0 eng d
040 _aOCoLC-P
_beng
_cOCoLC-P
020 _a9781000753080
_q(electronic bk.)
020 _a1000753085
_q(electronic bk.)
020 _a9781000753202
_q(ePub ebook)
020 _a1000753204
020 _a9781000753141
_q(Mobipocket ebook)
020 _a100075314X
020 _a9780367229184
_q(ebook)
020 _a0367229188
020 _z036722917X
020 _z9780367229177
024 7 _a10.1201/9780367229184
_2doi
035 _a(OCoLC)1129220463
035 _a(OCoLC-P)1129220463
050 4 _aRC78.7.D53
072 7 _aSCI
_x059000
_2bisacsh
072 7 _aTEC
_x059000
_2bisacsh
072 7 _aMED
_x003040
_2bisacsh
072 7 _aPHVD
_2bicssc
082 0 4 _a616.0754
_223
245 0 0 _aARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING
_h[electronic resource] :
_bfrom theory to clinical practice.
260 _a[S.l.] :
_bCRC PRESS,
_c2019.
300 _a1 online resource
336 _atext
_2rdacontent
336 _astill image
_2rdacontent
337 _acomputer
_2rdamedia
338 _aonline resource
_2rdacarrier
520 _aThis book, written by authors with more than a decade of experience in the design and development of artificial intelligence (AI) systems in medical imaging, will guide readers in the understanding of one of the most exciting fields today. After an introductory description of classical machine learning techniques, the fundamentals of deep learning are explained in a simple yet comprehensive manner. The book then proceeds with a historical perspective of how medical AI developed in time, detailing which applications triumphed and which failed, from the era of computer aided detection systems on to the current cutting-edge applications in deep learning today, which are starting to exhibit on-par performance with clinical experts. In the last section, the book offers a view on the complexity of the validation of artificial intelligence applications for commercial use, describing the recently introduced concept of software as a medical device, as well as good practices and relevant considerations for training and testing machine learning systems for medical use. Open problematics on the validation for public use of systems which by nature continuously evolve through new data is also explored. The book will be of interest to graduate students in medical physics, biomedical engineering and computer science, in addition to researchers and medical professionals operating in the medical imaging domain, who wish to better understand these technologies and the future of the field. Features: An accessible yet detailed overview of the field Explores a hot and growing topic Provides an interdisciplinary perspective
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aDiagnostic imaging.
650 0 _aArtificial intelligence
_xMedical applications.
650 7 _aSCIENCE / Radiology
_2bisacsh
650 7 _aMEDICAL / Allied Health Services / Medical Technology
_2bisacsh
700 1 _aMorra, Lia.
700 1 _aDelsanto, Silvia.
700 1 _aCorreale, Loredana.
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9780367229184
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999 _c128179
_d128179