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Coronary artery segmentation and skeletonization based on competing fuzzy connectedness tree
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Biomedical Engineering and Health Systems, Medical Imaging.ORCID iD: 0000-0002-0442-3524
2007 (English)Conference paper, Poster (with or without abstract) (Refereed)
Place, publisher, year, edition, pages
2007. p. 311-318
National Category
Medical Image Processing
Identifiers
URN: urn:nbn:se:kth:diva-258839OAI: oai:DiVA.org:kth-258839DiVA, id: diva2:1350283
Conference
International Conference on Medical Image Computing and Computer-Assisted Intervention
Available from: 2019-09-11 Created: 2019-09-11 Last updated: 2019-09-11

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Total: 11 hits
CiteExportLink to record
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  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
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Language
  • de-DE
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  • en-US
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