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Improved quantification of bone remodelling by utilizing fuzzy based segmentation
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2009 (English)In: Image analysis / [ed] Arnt-Børre Salberg, Jon Yngve Hardeberg, Robert Jenssen, Berlin: Springer, 2009, p. 750-759Conference paper, Published paper (Refereed)
Abstract [en]

We present a novel fuzzy theory based method for the segmentation of images required in histomorphometrical investigations of bone implant integration. The suggested method combines discriminant analysis classification controlled by an introduced uncertainty measure, and fuzzy connectedness segmentation method, so that the former is used for automatic seeding of the later. A thorough evaluation of the proposed segmentation method is performed. Comparison with previously published automatically obtained measurements, as well as with manually obtained ones, is presented. The proposed method improves the segmentation and, consequently, the accuracy of the automatic measurements, while keeping advantages with respect to the manual ones, by being fast, repeatable, and objective.

Place, publisher, year, edition, pages
Berlin: Springer, 2009. p. 750-759
Series
Lecture notes in computer science, ISSN 0302-9743 ; 5575
National Category
Dentistry
Research subject
Medicine
Identifiers
URN: urn:nbn:se:oru:diva-11365DOI: 10.1007/978-3-642-02230-2_77ISI: 000268661000077Scopus ID: 2-s2.0-70350626771ISBN: 978-3-642-02229-6 (print)OAI: oai:DiVA.org:oru-11365DiVA, id: diva2:328760
Conference
16th Scandinavian Conference, SCIA 2009, Oslo, Norway, June 15-18, 2009
Available from: 2010-07-06 Created: 2010-07-06 Last updated: 2017-10-18Bibliographically approved

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Johansson, Carina B.

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CiteExportLink to record
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Citation style
  • apa
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf