Characterization of Cancer and Normal Intracellular Images by the Power Law of a Fuzzy Partition Functional
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, Springer Berlin/Heidelberg, 2013, 597-604 p.Conference paper (Refereed)Text
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
Springer Berlin/Heidelberg, 2013. 597-604 p.
Lecture Notes in Computer Science, ISSN 0302-9743 (print), 1611-3349 (online) ; 7950
Intracellular space, feature extraction, power laws, fuzzy partitions
IdentifiersURN: urn:nbn:se:liu:diva-125039DOI: 10.1007/978-3-642-39094-4_68ISBN: 978-3-642-39093-7 (Print)ISBN: 978-3-642-39094-4 (Online)OAI: oai:DiVA.org:liu-125039DiVA: diva2:902755
10th International Conference, ICIAR 2013, Póvoa do Varzim, Portugal, June 26-28, 2013