liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
Brain lesion detection in MRI with fuzzy and geostatistical models
School of Engineering and Information Technology, University of New South Wales, Canberra ACT 2600, Australia.ORCID iD: 0000-0002-4255-5130
2010 (English)Conference paper (Refereed)Text
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.

Place, publisher, year, edition, pages
2010. 3150-3153 p.
Series
, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, ISSN 1094-687X
National Category
Medical Image Processing
Identifiers
URN: urn:nbn:se:liu:diva-127897DOI: 10.1109/IEMBS.2010.5627188PubMedID: 21096593ISBN: 978-1-4244-4123-5OAI: oai:DiVA.org:liu-127897DiVA: diva2:928906
Conference
2010 Annual International Conference of the IEEE Engineering in Medicine and Biology. Aug. 31 2010-Sept. 4 2010 Buenos Aires
Available from: 2016-05-17 Created: 2016-05-13 Last updated: 2016-06-02

Open Access in DiVA

No full text

Other links

Publisher's full textPubMed

Search in DiVA

By author/editor
Pham, Tuan D
Medical Image Processing

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 48 hits
ReferencesLink to record
Permanent link

Direct link