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Biomedical Imaging (Record no. 63772)

MARC details
000 -LEADER
fixed length control field 05252nam a22005775i 4500
001 - CONTROL NUMBER
control field 978-981-97-5345-1
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251030113110.0
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 240927s2024 si | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789819753451
-- 978-981-97-5345-1
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-981-97-5345-1
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QH505
072 #7 - SUBJECT CATEGORY CODE
Subject category code PHVN
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code SCI009000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code PHVN
Source thema
245 10 - TITLE STATEMENT
Title Biomedical Imaging
Medium [electronic resource] :
Remainder of title Advances in Artificial Intelligence and Machine Learning /
Statement of responsibility, etc. edited by Ankur Gogoi, Nirmal Mazumder.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2024.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Singapore :
Name of producer, publisher, distributor, manufacturer Springer Nature Singapore :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture, or copyright notice 2024.
300 ## - PHYSICAL DESCRIPTION
Extent XX, 347 p. 104 illus., 85 illus. in color.
Other physical details 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
490 1# - SERIES STATEMENT
Series statement Biological and Medical Physics, Biomedical Engineering,
International Standard Serial Number 2197-5647
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Artificial intelligence (AI) in diagnostic medical image processing: Recent advances and challenges -- Introduction to machine learning -- Artificial intelligence in Raman spectroscopy and microscopy -- Machine learning based analysis in Biomedical applications -- Applications of support vector machine in polarization sensitive fluorescence spectroscopy in biophotonics research -- Tissue optical clearing and machine learning based analysis -- Machine learning based photoacoustic image analysis for cancer diagnosis -- Diffuse optical imaging and spectroscopy as a non-invasive diagnostic tool -- Machine learning in nonlinear optical microscopy -- Deep learning in quantitative phase imaging -- Deep learning in super resolution microcopy -- Machine learning based analysis in Stokes Mueller Polarization light applications -- Polarization resolved second harmonic generation for tissue imaging -- Light microscopy in endoscopy -- Deep learning-based algorithm applied to multiphoton microscopy -- Cross polarization optical coherence tomography applications in brain research -- Machine learning applications in brain research -- Recent trends in survival prediction of malignant brain tumour patients.
520 ## - SUMMARY, ETC.
Summary, etc. This book presents the rapidly developing field of artificial intelligence and machine learning and its application in biomedical imaging. As is known, starting from the diagnosis of fractures by using X-rays to understanding the complex structure and function of the brain, biomedical imaging has contributed immensely toward the development of precision diagnosis and treatment strategies for numerous diseases. While continuous evolution in imaging technologies have enabled the acquisition of images having resolution and contrast far better than ever, it significantly increased the volume of data associated with each image scan—making it increasingly difficult for experts to analyze and interpret. In this context, the application of artificial intelligence (AI) and machine learning (ML) tools has become one of the most exciting frontlines of contemporary research in biomedical imaging due to their capability to extract minute traces of various disease signatures from large and complicated datasets and providing clear insight into the potential abnormalities with excellent accuracy, sensitivity, and specificity. The hallmark of this book will be the contributions from international leaders on different AI-aided advanced biomedical imaging modalities and techniques. Included will be comprehensive description of several of the technology-driven spectacular advances made over the past few years that have allowed early detection and delineation of abnormalities with sub-pixel image segmentation and classification. Starting from the fundamentals of biomedical image processing, the book presents a streamlined and focused coverage of the core principles, theoretical and experimental approaches, and state-of-the-art applications of most of the currently used biomedical imaging techniques powered by AI.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 66239
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
General subdivision Imaging.
9 (RLIN) 69161
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 68565
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 69163
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Gogoi, Ankur.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 85124
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Mazumder, Nirmal.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 75395
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9789819753444
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9789819753468
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9789819753475
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Biological and Medical Physics, Biomedical Engineering,
International Standard Serial Number 2197-5647
9 (RLIN) 18019
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-981-97-5345-1">https://doi.org/10.1007/978-981-97-5345-1</a>
912 ## -
-- ZDB-2-PHA
912 ## -
-- ZDB-2-SXP

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