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Fractal Analysis of Mammograms
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Umeå University, Faculty of Science and Technology, Department of Computing Science.
2007 (English)In: SCIA 2007 / [ed] B. K. Ersboll, K. S. Pedersen, Berlin: Springer , 2007, 92-101 p.Conference paper, Published paper (Refereed)
Abstract [en]

In this paper it is shown that there is a difference in local fractal dimension between imaged glandular tissue, supporting tissue and muscle tissue based on an assessment from a mammogram. By estimating the density difference at four different local dimensions (2.06, 2.33, 2.48, 2.70) from 142 mammograms we can define a measure and by using this measure we are able to distinguish between the tissue types. A ROC-analysis gives us an area under the curve-value of 0.9998 for separating glandular tissue from muscular tissue and 0.9405 for separating glandular tissue from supporting tissue. To some extent we can say that the measured difference in fractal properties is due to different fractal properties of the unprojected tissue. For example, to a large extent muscle tissue seems to have different fractal properties than glandular or supportive tissue. However, a large variance in the local dimension densities makes it difficult to make proper use of the proposed measure for segmentation purposes.

Place, publisher, year, edition, pages
Berlin: Springer , 2007. 92-101 p.
Series
Lecture Notes in Computer Science, 4522
National Category
Computer Science
Identifiers
URN: urn:nbn:se:umu:diva-41614ISBN: 978-3-540-73039-2 (print)OAI: oai:DiVA.org:umu-41614DiVA: diva2:407331
Conference
Conference Name: 15th Scandinavian Conference on Image AnalysisConference Location: Aalborg, DENMARK
Available from: 2011-03-30 Created: 2011-03-30 Last updated: 2012-05-22Bibliographically approved

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Georgsson, Fredrik

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  • apa
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  • asciidoc
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