Paper Info
Title
Characterization Of Cancer And Normal Intracellular Images By The Power Law Of A Fuzzy Partition Functional
Abstract
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.
Year
DOI
Venue
2013
10.1007/978-3-642-39094-4_68
IMAGE ANALYSIS AND RECOGNITION
Keywords
Field
DocType
Intracellular space, feature extraction, power laws, fuzzy partitions
Molecular imaging,Fuzzy partition,Pattern recognition,Image texture,Computer science,Modeling and simulation,Intracellular,Feature extraction,Artificial intelligence,Power law,Cancer
Conference
Volume
ISSN
Citations 
7950
0302-9743
0
PageRank 
References 
Authors
0.34
4
2
Name
Order
Citations
PageRank
Tuan Pham150373.75
Kazuhisa Ichikawa23011.02