liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
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)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.
National Category
Bioinformatics and Systems Biology
URN: urn:nbn:se:liu:diva-127949DOI: 10.1007/978-3-642-39094-4_68ISBN: 978-3-642-39094-4OAI: diva2:927937
Available from: 2016-05-13 Created: 2016-05-13 Last updated: 2016-05-19

Open Access in DiVA

No full text

Other links

Publisher's full textFind book at a Swedish library/hitta boken i ett svenskt bibliotek

Search in DiVA

By author/editor
Pham, Tuan D
Bioinformatics and Systems Biology

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 48 hits
ReferencesLink to record
Permanent link

Direct link