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Classification of multivariate medical datasets using deformable models - A work in progress
Linköping University, Department of Biomedical Engineering. Linköping University, The Institute of Technology.ORCID iD: 0000-0003-0908-9470
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology.
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-9091-4724
2009 (English)Conference paper, Published paper (Other academic)
Abstract [en]

This paper presents an overview of the project “Classification of multivariate medical datasets using deformable models” and the current work within the project. The project is a joint venture between the Department of Biomedical Engineering (Linköping University), the Center for Medical Image Science and Visualization (Linköping University) and Sectra Imtec AB (Linköping) and focuses on extending a deformable model approach, named the Morphon, to 3D and to utilize multi-variate data with multiple priors. Recent work in the project includes evaluating different methods for estimating the displacement field and automatic scale control.

Place, publisher, year, edition, pages
2009.
National Category
Biomedical Laboratory Science/Technology
Identifiers
URN: urn:nbn:se:liu:diva-58089OAI: oai:DiVA.org:liu-58089DiVA: diva2:331959
Conference
SSBA Symposium om Image Analysis, Halmstad, Sweden, March 19-20 2009
Funder
Swedish Research Council, 2007-4786
Available from: 2010-08-23 Created: 2010-07-29 Last updated: 2013-09-12Bibliographically approved

Open Access in DiVA

Classification of multivariate medical datasets using deformable models - A work in progress(318 kB)554 downloads
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Authority records BETA

Forsberg, DanielAndersson, MatsKnutsson, Hans

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
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  • Other locale
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Output format
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