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AI innovation in medical imaging diagnostics

Record Type:	Electronic resources : Monograph/item
Title/Author:	AI innovation in medical imaging diagnostics/ Kalaivani Anbarasan, editor.
remainder title:	Artificial intelligence in medical imaging diagnostics
other author:	Anbarasan, Kalaivani,
Published:	Hershey, Pennsylvania :IGI Global, : 2020.,
Description:	1 online resource (248 p.)
[NT 15003449]:	Chapter 1. Detection of ocular pathologies from iris images using blind de-convolution and fuzzy c-means clustering: detection of ocular pathologies -- Chapter 2. Machine learning in healthcare -- Chapter 3. Detection of tumor from brain MRI images using supervised and unsupervised methods -- Chapter 4. Breast cancer diagnosis in mammograms using wavelet analysis, haralick descriptors, and autoencoder -- Chapter 5. Feature selection using random forest algorithm to diagnose tuberculosis from lung CT images -- Chapter 6. An ensemble feature subset selection for women breast cancer classification -- Chapter 7. A content-based approach to medical image retrieval -- Chapter 8. Correlation and analysis of overlapping leukocytes in blood cell images using intracellular markers and colocalization operation -- Chapter 9. Enchodroma tumor detection from MRI images using SVM classifier -- Chapter 10. An approach to cloud computing for medical imageanalysis -- Chapter 11. Segmentation of spine tumour using k-means and active contour and feature extraction using GLCM -- Chapter 12. A survey on early detection of women's breast cancer using IoT.
Subject:	Artificial intelligence. -
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-3092-4
ISBN:	9781799830931

AI innovation in medical imaging diagnostics
AI innovation in medical imaging diagnostics[electronic resource] /Artificial intelligence in medical imaging diagnosticsKalaivani Anbarasan, editor. - Hershey, Pennsylvania :IGI Global,2020. - 1 online resource (248 p.)

Includes bibliographical references and index.

Chapter 1. Detection of ocular pathologies from iris images using blind de-convolution and fuzzy c-means clustering: detection of ocular pathologies -- Chapter 2. Machine learning in healthcare -- Chapter 3. Detection of tumor from brain MRI images using supervised and unsupervised methods -- Chapter 4. Breast cancer diagnosis in mammograms using wavelet analysis, haralick descriptors, and autoencoder -- Chapter 5. Feature selection using random forest algorithm to diagnose tuberculosis from lung CT images -- Chapter 6. An ensemble feature subset selection for women breast cancer classification -- Chapter 7. A content-based approach to medical image retrieval -- Chapter 8. Correlation and analysis of overlapping leukocytes in blood cell images using intracellular markers and colocalization operation -- Chapter 9. Enchodroma tumor detection from MRI images using SVM classifier -- Chapter 10. An approach to cloud computing for medical imageanalysis -- Chapter 11. Segmentation of spine tumour using k-means and active contour and feature extraction using GLCM -- Chapter 12. A survey on early detection of women's breast cancer using IoT.

"This book examines the application of artificial intelligence in medical imaging diagnostics"--

ISBN: 9781799830931Subjects--Topical Terms:

516317
Artificial intelligence.
Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: RC78.7.D53 / A35 2020e

Dewey Class. No.: 616.07/54

National Library of Medicine Call No.: W 26.55.A7 / A35 2020e

AI innovation in medical imaging diagnostics
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245 0 0 $a AI innovation in medical imaging diagnostics $h [electronic resource] / $c Kalaivani Anbarasan, editor.
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300 $a 1 online resource (248 p.)
504 $a Includes bibliographical references and index.
505 0 $a Chapter 1. Detection of ocular pathologies from iris images using blind de-convolution and fuzzy c-means clustering: detection of ocular pathologies -- Chapter 2. Machine learning in healthcare -- Chapter 3. Detection of tumor from brain MRI images using supervised and unsupervised methods -- Chapter 4. Breast cancer diagnosis in mammograms using wavelet analysis, haralick descriptors, and autoencoder -- Chapter 5. Feature selection using random forest algorithm to diagnose tuberculosis from lung CT images -- Chapter 6. An ensemble feature subset selection for women breast cancer classification -- Chapter 7. A content-based approach to medical image retrieval -- Chapter 8. Correlation and analysis of overlapping leukocytes in blood cell images using intracellular markers and colocalization operation -- Chapter 9. Enchodroma tumor detection from MRI images using SVM classifier -- Chapter 10. An approach to cloud computing for medical imageanalysis -- Chapter 11. Segmentation of spine tumour using k-means and active contour and feature extraction using GLCM -- Chapter 12. A survey on early detection of women's breast cancer using IoT.
520 3 $a "This book examines the application of artificial intelligence in medical imaging diagnostics"-- $c Provided by publisher.
650 0 $a Artificial intelligence. $3 516317
650 0 $a Diagnostic imaging. $3 658032
650 1 2 $a Artificial Intelligence. $3 769149
650 1 2 $a Diagnostic Imaging $x methods. $3 745378
650 2 2 $a Deep Learning. $3 3616867
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