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Characterization of Cancer and Normal Intracellular Images by the Power Law of a Fuzzy Partition Functional
Aizu Research Cluster for Medical Engineering and Informatics Research Center for Advanced Information Science and Technology The University of Aizu, Aizuwakamatsu, Fukushima, Japan.ORCID iD: 0000-0002-4255-5130
Department of Cancer Biology, Division of Mathematical Oncology, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan .
2013 (English)In: Image Analysis and Recognition: 10th International Conference, ICIAR 2013, Póvoa do Varzim, Portugal, June 26-28, 2013. Proceedings / [ed] Mohamed Kamel, Aurélio Campilho, Berlin, Heidelberg: Springer Berlin/Heidelberg, 2013, 597-604 p.Chapter in book (Other academic)
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Text
Abstract [en]

The discovery of detailed structures of spatial organelles within a single cell obtained by state-of-the-art molecular imaging technology has provided essential biological information for gaining insights into the study of complex human diseases. In particular, such information is helpful for cancer modeling and simulation. This paper presents a novel concept for characterizing the intracellular space of cancer and normal cells using the mathematical principle of power laws applied to a fuzzy partition functional for cluster validity. Experimental results and comparison with image texture analysis suggest the promising application of the proposed method.

Place, publisher, year, edition, pages
Berlin, Heidelberg: Springer Berlin/Heidelberg, 2013. 597-604 p.
Keyword [en]
Intracellular space, feature extraction, power laws, fuzzy partitions
National Category
Bioinformatics and Systems Biology
Identifiers
URN: urn:nbn:se:liu:diva-127949DOI: 10.1007/978-3-642-39094-4_68Scopus ID: 2-s2.0-84884487085ISBN: 978-3-642-39094-4 (print)OAI: oai:DiVA.org:liu-127949DiVA: diva2:927937
Available from: 2016-05-13 Created: 2016-05-13 Last updated: 2017-06-30Bibliographically approved

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Pham, Tuan D
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Citation style
  • apa
  • harvard1
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More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • asciidoc
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