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An efficient clustering based texture feature extraction for medical image

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Mohamed, M. H. and Abdelsamea, Mohammed M. (2009) An efficient clustering based texture feature extraction for medical image. In: 2008 11th International Conference on Computer and Information Technology, Khulna, Bangladesh, 24 -27 Dec 2008. Published in: 11th International Conference on Computer and Information Technology, 2008. ICCIT 2008 pp. 88-93. ISBN 9781424421350.

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Official URL: http://doi.org/10.1109/ICCITECHN.2008.4803114

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Abstract

In some medical applications where a tissue of interest covers a large fraction of the image or a prior knowledge on the region of interest is available, extracting features by fixed blocs in the image is sufficient. However in the general case, one would like to identify features for each tissue in the image. This would require prior image segmentation. Medical image segmentation is one of the most challenging problems in medical image analysis and a very active research topic. Therefore, there is no algorithm available in the general case for isolating medical image regions [1]. This paper presents an accurate method for extracting texture features from medical image for classification. It is based on bloc wise clustering of medical images. The proposed technique extracts accurate and general set of texural features. Experimental result showed the high accuracy of the extracted textural features. Experiments held on Mammographic Image Analysis Society (MIAS) dataset.

Item Type: Conference Item (Paper)
Subjects: R Medicine > RC Internal medicine
Divisions: Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School > Biomedical Sciences
Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School
Library of Congress Subject Headings (LCSH): Diagnostic imaging -- Data processing, Diagnostic imaging -- Digital techniques, Image segmentation, Image analysis, Image processing -- Digital techniques, Computer vision, Pattern recognition systems
Journal or Publication Title: 11th International Conference on Computer and Information Technology, 2008. ICCIT 2008
Publisher: IEEE
ISBN: 9781424421350
Official Date: 21 March 2009
Dates:
DateEvent
21 March 2009Published
25 December 2008Accepted
Page Range: pp. 88-93
Status: Peer Reviewed
Publication Status: Published
Date of first compliant deposit: 26 January 2018
Date of first compliant Open Access: 26 January 2018
Conference Paper Type: Paper
Title of Event: 2008 11th International Conference on Computer and Information Technology
Type of Event: Conference
Location of Event: Khulna, Bangladesh
Date(s) of Event: 24 -27 Dec 2008

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