Artificial Intelligence in Breast Cancer Early Detection and Diagnosis (Record no. 78024)

000 -LEADER
fixed length control field 03329nam a22005655i 4500
001 - CONTROL NUMBER
control field 978-3-030-59208-0
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801215933.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 201204s2021 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783030592080
-- 978-3-030-59208-0
082 04 - CLASSIFICATION NUMBER
Call Number 610.28
100 1# - AUTHOR NAME
Author Shaikh, Khalid.
245 10 - TITLE STATEMENT
Title Artificial Intelligence in Breast Cancer Early Detection and Diagnosis
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2021.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XII, 107 p. 23 illus., 9 illus. in color.
505 0# - FORMATTED CONTENTS NOTE
Remark 2 An Introduction to Breast Cancer Diagnosis, Prognosis, and Artificial Intelligence -- Breast Cancer and Its Types -- Artificial Intelligence -- Breast Cancer Screening Using AI Methods -- Case Study for Screening of Breast Cancer.
520 ## - SUMMARY, ETC.
Summary, etc This book provides an introduction to next generation smart screening technology for medical image analysis that combines artificial intelligence (AI) techniques with digital screening to develop innovative methods for detecting breast cancer. The authors begin with a discussion of breast cancer, its characteristics and symptoms, and the importance of early screening.They then provide insight on the role of artificial intelligence in global healthcare, screening methods for breast cancer using mammogram, ultrasound, and thermogram images, and the potential benefits of using AI-based systems for clinical screening to more accurately detect, diagnose, and treat breast cancer. Discusses various existing screening methods for breast cancer Presents deep information on artificial intelligence-based screening methods Discusses cancer treatment based on geographical differences and cultural characteristics.
700 1# - AUTHOR 2
Author 2 Krishnan, Sabitha.
700 1# - AUTHOR 2
Author 2 Thanki, Rohit.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-030-59208-0
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2021.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Biomedical engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Radiology.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Machine learning.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Biomedical Engineering and Bioengineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial Intelligence.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Radiology.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Machine Learning.
700 1# - AUTHOR 2
-- (orcid)0000-0002-0645-6266
-- https://orcid.org/0000-0002-0645-6266
912 ## -
-- ZDB-2-ENG
912 ## -
-- ZDB-2-SXE

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