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The Resource Medical image recognition, segmentation and parsing : machine learning and multiple object approaches, edited by S. Kevin Zhou

Medical image recognition, segmentation and parsing : machine learning and multiple object approaches, edited by S. Kevin Zhou

Label
Medical image recognition, segmentation and parsing : machine learning and multiple object approaches
Title
Medical image recognition, segmentation and parsing
Title remainder
machine learning and multiple object approaches
Statement of responsibility
edited by S. Kevin Zhou
Contributor
Editor
Subject
Language
eng
Summary
This book describes the technical problems and solutions for automatically recognizing and parsing a medical image into multiple objects, structures, or anatomies. It gives all the key methods, including state-of-the-art approaches based on machine learning, for recognizing or detecting, parsing or segmenting, a cohort of anatomical structures from a medical image. You will learn how to: research challenges and problems in medical image recognition, segmentation and parsing of multiple objects; methods and theories for medical image recognition, segmentation and parsing of multiple objects; efficient and effective machine learning solutions based on big datasets; selected applications of medical image parsing using proven algorithms. --
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Assigning source
Edited summary from book
Cataloging source
N$T
Illustrations
illustrations
Index
index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
Series statement
The Elsevier and MICCAI society book series
Medical image recognition, segmentation and parsing : machine learning and multiple object approaches, edited by S. Kevin Zhou
Label
Medical image recognition, segmentation and parsing : machine learning and multiple object approaches, edited by S. Kevin Zhou
Link
Publication
Copyright
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Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
http://library.link/vocab/cover_art
https://contentcafe2.btol.com/ContentCafe/Jacket.aspx?Return=1&Type=S&Value=9780128026762&userID=ebsco-test&password=ebsco-test
Dimensions
unknown
http://library.link/vocab/discovery_link
{'f': 'http://opac.lib.rpi.edu/record=b3822433'}
Extent
1 online resource
File format
unknown
Form of item
online
Isbn
9780128026762
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other physical details
illustrations.
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote

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