Deep learning applications in medical image segmentation : (Record no. 96316)

000 -LEADER
fixed length control field 04828cam a22007338i 4500
001 - CONTROL NUMBER
control field 14321005
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260801084123.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION
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007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250106s2025 nju o 000 0 eng d
015 ## - NATIONAL BIBLIOGRAPHY NUMBER
National bibliography number GBC506791
Source bnb
016 7# - NATIONAL BIBLIOGRAPHIC AGENCY CONTROL NUMBER
Record control number 300482739
Source Uk
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781394245338
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1394245343
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781394245369
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 139424536X
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781394245352
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1394245351
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781394245345
Qualifying information (electronic bk.)
024 8# - OTHER STANDARD IDENTIFIER
Standard number or code CIPO000187921
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1002/9781394245369
Source of number or code doi
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1518017491
Canceled/invalid control number (OCoLC)1482905420
035 #9 - SYSTEM CONTROL NUMBER
System control number (OCLCCM-Owned)1518017491
037 ## - SOURCE OF ACQUISITION
Stock number 10833909
Source of stock number/acquisition IEEE
037 ## - SOURCE OF ACQUISITION
Stock number axeusr89
Source of stock number/acquisition cloudLibrary
Note https://yourcloudlibrary.com
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
049 ## - LOCAL HOLDINGS (OCLC)
Holding library MAIN
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number R857.O6
Item number D44 2025
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM012050
Source bisacsh/2023
072 #7 - SUBJECT CATEGORY CODE
Subject category code TEC059000
Source bisacsh/2023
072 #7 - SUBJECT CATEGORY CODE
Subject category code TEC000000
Source bisacsh/2023
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM000000
Source bisacsh/2023
245 00 - TITLE STATEMENT
Title Deep learning applications in medical image segmentation :
Remainder of title overview, approaches, and challenges /
Statement of responsibility, etc edited by Sajid Yousuf Bhat, Aasia Rehman, Muhammad Abulaish.
264 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Hoboken :
Name of publisher, distributor, etc Wiley-IEEE Press,
Date of publication, distribution, etc 2025.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
520 ## - SUMMARY, ETC.
Summary, etc Apply revolutionary deep learning technology to the fast-growing field of medical image segmentation Precise medical image segmentation is rapidly becoming one of the most important tools in medical research, diagnosis, and treatment. The potential for deep learning, a technology which is already revolutionizing practice across hundreds of subfields, is immense. The prospect of using deep learning to address the traditional shortcomings of image segmentation demands close inspection and wide proliferation of relevant knowledge. Deep Learning Applications in Medical Image Segmentation meets this demand with a comprehensive introduction and its growing applications. Covering foundational concepts and its advanced techniques, it offers a one-stop resource for researchers and other readers looking for a detailed understanding of the topic. It is deeply engaged with the main challenges and recent advances in the field of deep-learning-based medical image segmentation. Readers will also find: Analysis of deep learning models, including FCN, UNet, SegNet, Dee Lab, and many more Detailed discussion of medical image segmentation divided by area, incorporating all major organs and organ systems Recent deep learning advancements in segmenting brain tumors, retinal vessels, and inner ear structures Analyzes the effectiveness of deep learning models in segmenting lung fields for respiratory disease diagnosis Explores the application and benefits of Generative Adversarial Networks (GANs) in enhancing medical image segmentation Identifies and discusses the key challenges faced in medical image segmentation using deep learning techniques Provides an overview of the latest advancements, applications, and future trends in deep learning for medical image analysis Deep Learning Applications in Medical Image Segmentation is ideal for academics and researchers working with medical image segmentation, as well as professionals in medical imaging, data science, and biomedical engineering.
588 ## - SOURCE OF DESCRIPTION NOTE
Source of description note Description based on CIP data; resource not viewed.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Diagnostic imaging
General subdivision Data processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Image segmentation
General subdivision Therapeutic use.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Deep learning (Machine learning)
General subdivision Therapeutic use.
650 #2 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Deep Learning
Authority record control number https://id.nlm.nih.gov/mesh/D000077321
650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Imagerie pour le diagnostic
General subdivision Informatique.
650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Segmentation d'image
General subdivision Emploi en thérapeutique.
650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Apprentissage profond
General subdivision Emploi en thérapeutique.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Image Processing.
Source of heading or term bisacsh/2023
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Biomedical.
Source of heading or term bisacsh/2023
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element TECHNOLOGY & ENGINEERING.
Source of heading or term bisacsh/2023
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element COMPUTERS.
Source of heading or term bisacsh/2023
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Image Processing.
Source of heading or term bisacsh/2024
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Biomedical.
Source of heading or term bisacsh/2024
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element TECHNOLOGY & ENGINEERING.
Source of heading or term bisacsh/2024
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element COMPUTERS.
Source of heading or term bisacsh/2024
655 #0 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Bhat, Sajid Yousuf,
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Rehman, Aasia,
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Abulaish, Muhammad,
Relator term editor.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Print version:
International Standard Book Number 9781394245338
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://onlinelibrary.wiley.com/doi/book/10.1002/9781394245369
Link text Full text is available at Wiley Online Library. Click here to view.
942 ## - ADDED ENTRY ELEMENTS
Source of classification or shelving scheme
Item type EBOOK
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Use restrictions Not for loan Permanent Location Current Location Date acquired Date last seen Price effective from Item type
        In Process   COLLEGE LIBRARY COLLEGE LIBRARY 2026-08-01 2026-08-01 2026-08-01 EBOOK

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