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AI innovation in medical imaging diagnostics

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	AI innovation in medical imaging diagnostics/ Kalaivani Anbarasan, editor.
其他題名:	Artificial intelligence in medical imaging diagnostics
其他作者:	Anbarasan, Kalaivani,
出版者:	Hershey, Pennsylvania :IGI Global, : 2020.,
面頁冊數:	1 online resource (248 p.)
內容註:	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.
標題:	Artificial intelligence. -
電子資源:	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

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