Machine and Deep Learning in Oncology, Medical Physics and Radiology (Record no. 200458288)

MARC details
000 -LEADER
fixed length control field 04124nam a22006255i 4500
003 - CONTROL NUMBER IDENTIFIER
control field TR-AnTOB
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20231109085904.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220202s2022 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783030830472
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-030-83047-2
Source of number or code doi
040 ## - CATALOGING SOURCE
Original cataloging agency TR-AnTOB
Language of cataloging eng
Description conventions rda
Transcribing agency TR-AnTOB
060 ## - NATIONAL LIBRARY OF MEDICINE CALL NUMBER
Classification number WN 250
072 #7 - SUBJECT CATEGORY CODE
Subject category code MMPH
Source bicssc
Subject category code MJCL
Source bicssc
Subject category code SCI058000
Source bisacsh
Subject category code MKSH
Source thema
Subject category code MJCL
Source thema
096 ## - LOCALLY ASSIGNED NLM-TYPE CALL NUMBER (OCLC)
Classification number WN250EBK
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title İngilizce
245 10 - TITLE STATEMENT
Title Machine and Deep Learning in Oncology, Medical Physics and Radiology
Medium [electronic resource] /
Statement of responsibility, etc. edited by Issam El Naqa, Martin J. Murphy.
250 ## - EDITION STATEMENT
Edition statement 2nd ed. 2022.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cham :
Name of producer, publisher, distributor, manufacturer Springer International Publishing :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture, or copyright notice 2022.
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
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Part I. Introduction -- 1. What are Machine and Deep Learning? -- 2. Computational Learning Basics -- 3. Overview of Conventional Machine Learning Methods -- 4. Overview of Deep Machine Learning Methods -- 5. Quantum Computing for Machine Learning -- 6. Performance Evaluation -- 7. Software Tools for Machine and Deep learning -- 8. Data sharing, protection and bioethics -- Part II. Machine Learning for Medical Image Analysis -- 9. Detection of Cancer Lesions from Imaging -- 10. Diagnosis of Malignant and Benign Tumours -- 11. Auto-contouring for image-guidance and treatment planning -- Part III. Machine Learning for Treatment planning & Delivery -- 12. Quality Assurance and error prediction -- 13. Knowledge-based treatment planning -- 14. Intelligent respiratory motion management -- Part IV. Machine Learning for Outcomes Modeling and Decision Support -- 15. Prediction of oncology treatment outcomes -- 16. Radiomics and radiogenomics -- 17. Modelling of Radiotherapy Response (TCP/NTCP) -- 18. Smart adaptive treatment strategies -- 19. Machine learning in clinical trials.
520 ## - SUMMARY, ETC.
Summary, etc. This book, now in an extensively revised and updated second edition, provides a comprehensive overview of both machine learning and deep learning and their role in oncology, medical physics, and radiology. Readers will find thorough coverage of basic theory, methods, and demonstrative applications in these fields. An introductory section explains machine and deep learning, reviews learning methods, discusses performance evaluation, and examines software tools and data protection. Detailed individual sections are then devoted to the use of machine and deep learning for medical image analysis, treatment planning and delivery, and outcomes modeling and decision support. Resources for varying applications are provided in each chapter, and software code is embedded as appropriate for illustrative purposes. The book will be invaluable for students and residents in medical physics, radiology, and oncology and will also appeal to more experienced practitioners and researchers and members of applied machine learning communities. .
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Medical radiology.
Topical term or geographic name entry element Oncology.
Topical term or geographic name entry element Machine learning.
Topical term or geographic name entry element Medical physics.
Topical term or geographic name entry element Radiology.
Topical term or geographic name entry element Biophysics.
Topical term or geographic name entry element Radiation Oncology.
Topical term or geographic name entry element Machine Learning.
Topical term or geographic name entry element Oncology.
Topical term or geographic name entry element Medical Physics.
Topical term or geographic name entry element Radiology.
Topical term or geographic name entry element Biophysics.
653 #0 - INDEX TERM--UNCONTROLLED
Uncontrolled term Radiotherapy
Uncontrolled term Artificial Intelligence
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name El Naqa, Issam.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
Personal name Murphy, Martin J.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-030-83047-2">https://doi.org/10.1007/978-3-030-83047-2</a>
Materials specified Springer eBooks
Public note Online access link to the resource
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme National Library of Medicine
Koha item type E-Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Not for loan Collection code Home library Current library Date acquired Source of acquisition Inventory number Total Checkouts Full call number Barcode Date last seen Copy number Date shelved Koha item type Public note
    National Library of Medicine Geçerli değil-e-Kitap / Not applicable-e-Book E-Kitap Koleksiyonu Tıp Fakültesi Medikal Kütüphane Tıp Fakültesi Medikal Kütüphane 11/10/2023 Satın Alma / Purchase TIP   WN 250EBK EBK02327 03/11/2023 1 03/11/2023 E-Book
Devinim Yazılım Eğitim Danışmanlık tarafından Koha'nın orjinal sürümü uyarlanarak geliştirilip kurulmuştur.