NDLI: Segmentation of multiple sclerosis plagues by robust fuzzy clustering with spatial information

Content Provider	IEEE Xplore Digital Library
Author	Ozyavru, H. Ozkurt, N. Men, S.
Copyright Year	2011
Description	Author affiliation: Dokuz Eylul University, Graduate School of Natural and Applied Sciences, Izmir, Turkey (Ozyavru, H.) \|\| Dokuz Eylul University, Graduate School of Natural and Applied Sciences, Izmir, Turkey, Yaşar University, Dept. of Electrical and Electronics, Engineering, Izmir, Turkey (Ozkurt, N.) \|\| Dokuz Eylul University, Medicine Faculty, Dept. Radiology, İzmir, Turkey (Men, S.)
Abstract	In this study, a fuzzy clustering method has been proposed in order to segment brain tissues affected by the multiple sclerosis (MS). In traditional fuzzy clustering, the neighboring relations between pixels have not been taken account of. Additionally, the performance of the clustering reduces drastically because of the pixels having close gray levels due to noise. Therefore, in this study, a novel robust fuzzy clustering algorithm which uses spatial information has been proposed for segmentation of MS plagues. In addition to spatial information, standard deviation dependent filtering is incorporated to the algorithm to achieve better noise immunity. Also, fuzzy clustering is adjusted to be more selective on vertical elliptic objects instead of circular objects since most of the plagues are in this shape.
Starting Page	420
Ending Page	423
File Size	1279814
Page Count	4
File Format	PDF
ISBN	9781612849195
e-ISBN	9781612849225
DOI	10.1109/INISTA.2011.5946104
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-15
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Spatial information Image segmentation Multiple sclerosis Shape Clustering algorithms Fuzzy Lesions Clustering Pixel Biomedical imaging Standard deviation filtering
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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