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Brain lesion detection in MRI with fuzzy and geostatistical models
School of Engineering and Information Technology, University of New South Wales, Canberra, Australia.ORCID-id: 0000-0002-4255-5130
2010 (Engelska)Konferensbidrag, Publicerat paper (Refereegranskat)
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Abstract [en]

Automated image detection of white matter changes of the brain is essentially helpful in providing a quantitative measure for studying the association of white matter lesions with other types of biomedical data. Such study allows the possibility of several medical hypothesis validations which lead to therapeutic treatment and prevention. This paper presents a new clustering-based segmentation approach for detecting white matter changes in magnetic resonance imaging with particular reference to cognitive decline in the elderly. The proposed method is formulated using the principles of fuzzy c-means algorithm and geostatistics.

Ort, förlag, år, upplaga, sidor
Institute of Electrical and Electronics Engineers (IEEE), 2010. s. 3150-3153
Serie
2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, ISSN 1094-687X
Nationell ämneskategori
Medicinsk bildbehandling
Identifikatorer
URN: urn:nbn:se:liu:diva-127897DOI: 10.1109/IEMBS.2010.5627188ISI: 000287964003136PubMedID: 21096593Scopus ID: 2-s2.0-78650829975ISBN: 978-1-4244-4123-5 (tryckt)OAI: oai:DiVA.org:liu-127897DiVA, id: diva2:928906
Konferens
2010 Annual International Conference of the IEEE Engineering in Medicine and Biology. Buenos Aires, Argentina, 31 Aug.-4 Sept. 2010
Tillgänglig från: 2016-05-17 Skapad: 2016-05-13 Senast uppdaterad: 2017-06-29Bibliografiskt granskad

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Pham, Tuan D

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  • en-GB
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