Multimodality imaging. (Record no. 82891)

000 -LEADER
fixed length control field 06161nam a2200733 i 4500
001 - CONTROL NUMBER
control field 9780750322447
003 - CONTROL NUMBER IDENTIFIER
control field IOP
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230516170302.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m eo d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr cn |||m|||a
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230109s2022 enka fob 000 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780750322447
Qualifying information ebook
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780750322430
Qualifying information mobi
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9780750322423
Qualifying information print
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9780750322454
Qualifying information myPrint
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1088/978-0-7503-2244-7
Source of number or code doi
035 ## - SYSTEM CONTROL NUMBER
System control number (CaBNVSL)thg00083521
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1358413686
040 ## - CATALOGING SOURCE
Original cataloging agency CaBNVSL
Language of cataloging eng
Description conventions rda
Transcribing agency CaBNVSL
Modifying agency CaBNVSL
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number RC78.7.D53
Item number M855 2022eb
060 #4 - NATIONAL LIBRARY OF MEDICINE CALL NUMBER
Classification number WN 180
Item number M961 2022eb
072 #7 - SUBJECT CATEGORY CODE
Subject category code MQW
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code TEC059000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 616.07/54
Edition number 23
245 00 - TITLE STATEMENT
Title Multimodality imaging.
Number of part/section of a work Volume 1,
Name of part/section of a work Deep learning applications /
Statement of responsibility, etc. edited by Mainak Biswas, Jasjit S. Suri.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) :
Name of producer, publisher, distributor, manufacturer IOP Publishing,
Date of production, publication, distribution, manufacture, or copyright notice [2022]
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (various pagings) :
Other physical details illustrations (some color).
336 ## - CONTENT TYPE
Content type term text
Source rdacontent
337 ## - MEDIA TYPE
Media type term electronic
Source isbdmedia
338 ## - CARRIER TYPE
Carrier type term online resource
Source rdacarrier
490 1# - SERIES STATEMENT
Series statement [IOP release $release]
490 1# - SERIES STATEMENT
Series statement IOP ebooks. [2022 collection]
500 ## - GENERAL NOTE
General note "Version: 20221201"--Title page verso.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note part I. Deep learning and its applications. 1. Deep learning and augmented radiology / Mainak Biswas and Jasjit S. Suri -- 2. Deep learning in biomedical imaging / Mainak Biswas and Jasjit S. Suri
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note part II. Deep learning in brain imaging. 3. A review of artificial intelligence in brain tumor classification and segmentation / Mainak Biswas and Jasjit S. Suri -- 4. MRI based brain tumor classification and its validation : a transfer learning paradigm / Luca Saba, Gopal S. Tandel, Mainak Biswas, Michele Porcu, N.N. Khanna, Monica Turk, Christopher K. Asare, Annabel A. Ankrah and Jasjit S. Suri
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 5. Magnetic resonance based Wilson's disease tissue characterization in an artificial intelligence framework using transfer learning / Siva Skandha, Luca Saba, Suneet K. Gupta, Vijaya K. Kumar, Amer M. Johri, Narendra N. Khanna, Sophie Mavrogeni, John R. Laird, Gyan Pareek, Petros P. Sfikakis, Athanasios Protogerou, Monica Turk, Aditya M. Sharma, Andrew Nicolaides, George D. Kitas, Klaudija Viskovic, Tomaz Omerzu and Jasjit S. Suri
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note part III. Deep learning in cardiovascular imaging. 6. Artificial intelligence based carotid plaque tissue characterisation and classification from ultrasound images using a deep learning paradigm / Luca Saba, Sanagala S. Skandha, Suneet K. Gupta, Anudeep Puvvula, Vijaya K. Koppula, Amer M. Johri, Narendra N. Khanna, Sophie Mavrogeni, John R. Laird, Gyan Pareek, Martin Miner, Petros P. Sfikakis, Athanasios Protogerou, Durga P. Misra, Vikas Agarwal, Aditya M. Sharma, Vijay Viswanathan, Vijay S. Rathore, Monika Turk, Raghu Kolluri, Klaudija Viskovic, Elisa Cuadrado-Godia, George D. Kitas, Vijay Nambi, Deepak L. Bhatt, Andrew Nicolaides and Jasjit S. Suri -- 7. Quantification of plaque volume using a two-stage deep learning paradigm / Mainak Biswas and Jasjit S. Suri -- 8. Stenosis measurement from ultrasound carotid artery images in the deep learning paradigm / Mainak Biswas and Jasjit S. Suri -- 9. A systematic review of conventional and deep learning models for the measurement of plaque burden / Mainak Biswas and Jasjit S. Suri
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note part IV. Machine and deep learning in liver imaging. 10. Ultrasound fatty liver disease risk stratification using an extreme learning machine framework / Mainak Biswas and Jasjit S. Suri -- 11. Symtosis : deep learning based liver ultrasound tissue characterisation and risk stratification / Mainak Biswas and Jasjit S. Suri
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note part V. Deep learning in COVID-19. 12. Characterization of COVID-19 severity in infected lungs via artificial intelligence transfer learning / Sanagala S. Skandha, Luca Saba, Suneet K. Gupta, Vijaya K. Kumar, Amer M. Johri, Narendra N. Khanna, Sophie Mavrogeni, John R. Laird, Gyan Pareek, Petros P. Sfikakis, Athanasios Protogerou, Monica Turk, Aditya M. Sharma, Andrew Nicolaides, George D. Kitas, Klaudija Viskovic, Tomaz Omerzu and Jasjit S. Suri.
520 3# - SUMMARY, ETC.
Summary, etc. This research and reference text explores the finer details of deep learning models. It provides a brief outline on popular models including convolution neural networks, deep belief networks, autoencoders and residual neural networks.
521 ## - TARGET AUDIENCE NOTE
Target audience note Academic and industry researchers in medical imaging analysis, and for graduate students taking courses on machine learning and deep learning for computer vision and medical image computing and analysis.
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Also available in print.
538 ## - SYSTEM DETAILS NOTE
System details note Mode of access: World Wide Web.
538 ## - SYSTEM DETAILS NOTE
System details note System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.
545 ## - BIOGRAPHICAL OR HISTORICAL DATA
Biographical or historical data Professor Mainak Biswas is a computer scientist with specialization in the application of machine learning and deep learning in biomedical domain. Professor Jasjit S. Suri has spent over 30 years in the field of biomedical engineering/sciences, software and hardware engineering and its management.
588 0# - SOURCE OF DESCRIPTION NOTE
Source of description note Title from PDF title page (viewed on January 9, 2023).
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Diagnostic imaging
General subdivision Data processing.
9 (RLIN) 13574
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Deep learning (Machine learning)
9 (RLIN) 70704
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer vision.
9 (RLIN) 70705
650 12 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Diagnostic Imaging.
9 (RLIN) 6280
650 12 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Deep Learning.
9 (RLIN) 70706
650 12 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Visual Perception.
9 (RLIN) 3461
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Biomedical engineering.
Source of heading or term bicssc
9 (RLIN) 3292
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element TECHNOLOGY & ENGINEERING / Biomedical.
Source of heading or term bisacsh
9 (RLIN) 15690
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Biswas, Mainak,
Relator term editor.
9 (RLIN) 70707
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Suri, Jasjit S.,
Relator term editor.
9 (RLIN) 70708
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Institute of Physics (Great Britain),
Relator term publisher.
9 (RLIN) 11622
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Print version:
International Standard Book Number 9780750322423
-- 9780750322454
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title IOP (Series).
Name of part/section of a work Release 22.
9 (RLIN) 70709
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title IOP ebooks.
Name of part/section of a work 2022 collection.
9 (RLIN) 70710
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://iopscience.iop.org/book/edit/978-0-7503-2244-7">https://iopscience.iop.org/book/edit/978-0-7503-2244-7</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks

No items available.