Midlands State University Library

Machine learning and medical imaging (Record no. 155129)

MARC details
000 -LEADER
fixed length control field 02557nam a22003257a 4500
003 - CONTROL NUMBER IDENTIFIER
control field ZW-GwMSU
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20201002114021.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 201002b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780128040768
040 ## - CATALOGING SOURCE
Language of cataloging Ènglish
Transcribing agency MSU
Description conventions rda
041 ## -
-- eng
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Wu, Guorong
Relator term author
245 ## - TITLE STATEMENT
Title Machine learning and medical imaging
Statement of responsibility, etc created by Guorong Wu, Dinggang Shen, Mert R. Sabuncu
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc London
Name of publisher, distributor, etc Academic Press
Date of publication, distribution, etc 2016
300 ## - PHYSICAL DESCRIPTION
Extent 487 pages
Other physical details illustrations
336 ## - CONTENT TYPE
Source rdacontent
content type term text
337 ## - MEDIA TYPE
source rdamedia
media type term unmediated
media type code n
338 ## - CARRIER TYPE
source mediacarrier
carrier type term volume
carrier type code nc
490 ## - SERIES STATEMENT
Series statement The Elsevier and MICCAI society book series
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index
520 ## - SUMMARY, ETC.
Summary, etc This book presents state-of- the-art of machine learning methods in medical image analysis. It first summarizes cutting-edge machine learning algorithms in medical imaging, including not only classical probabilistic modeling and learning methods, but also recent breakthroughs in deep learning, sparse representation/coding, and big data hashing.<br/><br/>In the second part leading research groups around the world present a wide spectrum of machine learning methods with their application to different medical imaging modalities, clinical domains and organs. The biomedical imaging modalities include ultrasound, magnetic resonance imaging (MRI), computed tomography (CT), histology, and microscopy images. The targeted organs span the lung, liver, brain, and prostate, while there is also a treatment of examining genetic associations.<br/><br/>Machine Learning and Medical Imaging is an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians.<br/><br/>Key Features:<br/><br/> Demonstrates the application of cutting-edge machine learning techniques to medical imaging problems<br/><br/> Covers an array of medical imaging applications from computer assisted diagnosis, image guided radiation therapy, landmark detection, imaging genomics, and brain connectomics<br/><br/> Self-contained chapters with a thorough literature review<br/><br/> Assesses the development of future machine learning techniques and the further application of existing techniqu
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Diagnostic imaging
General subdivision Digital techniques
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence
General subdivision Medical approach
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer science
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Medical informatics
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Shen, Dinggang
Relator term author
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Sabuncu, Mert R.
Relator term author
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Library of Congress Classification     Medical School Medical School Open Shelf 01/10/2020 Book Aid International 46.00   RC78.7.D53 WU BK137826 02/10/2020 150465 02/10/2020 Book