ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING (Record no. 128179)

000 -LEADER
fixed length control field 03495cam a2200553M 4500
001 - CONTROL NUMBER
control field 9780367229184
003 - CONTROL NUMBER IDENTIFIER
control field FlBoTFG
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220509193017.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION
fixed length control field m o d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr |n|||||||||
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 191204s2019 xx o 000 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency OCoLC-P
Language of cataloging eng
Transcribing agency OCoLC-P
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781000753080
-- (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1000753085
-- (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781000753202
-- (ePub ebook)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1000753204
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781000753141
-- (Mobipocket ebook)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 100075314X
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780367229184
-- (ebook)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0367229188
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 036722917X
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 9780367229177
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1201/9780367229184
Source of number or code doi
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1129220463
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC-P)1129220463
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number RC78.7.D53
072 #7 - SUBJECT CATEGORY CODE
Subject category code SCI
Subject category code subdivision 059000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code TEC
Subject category code subdivision 059000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code MED
Subject category code subdivision 003040
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code PHVD
Source bicssc
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 616.0754
Edition number 23
245 00 - TITLE STATEMENT
Title ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING
Medium [electronic resource] :
Remainder of title from theory to clinical practice.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc [S.l.] :
Name of publisher, distributor, etc CRC PRESS,
Date of publication, distribution, etc 2019.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource
336 ## -
-- text
-- rdacontent
336 ## -
-- still image
-- rdacontent
337 ## -
-- computer
-- rdamedia
338 ## -
-- online resource
-- rdacarrier
520 ## - SUMMARY, ETC.
Summary, etc This 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 ## -
-- OCLC-licensed vendor bibliographic record.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Diagnostic imaging.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence
General subdivision Medical applications.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element SCIENCE / Radiology
Source of heading or term bisacsh
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element MEDICAL / Allied Health Services / Medical Technology
Source of heading or term bisacsh
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Morra, Lia.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Delsanto, Silvia.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Correale, Loredana.
856 40 - ELECTRONIC LOCATION AND ACCESS
Materials specified Taylor & Francis
Uniform Resource Identifier https://www.taylorfrancis.com/books/9780367229184
856 42 - ELECTRONIC LOCATION AND ACCESS
Materials specified OCLC metadata license agreement
Uniform Resource Identifier http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf

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