TY - JOUR
T1 - Cell nuclei segmentation using fuzzy logic engine
AU - Begelman, Grigory
AU - Gur, Eran
AU - Rivlin, Ehud
AU - Rudzsky, Michael
AU - Zalevsky, Zeev
PY - 2004
Y1 - 2004
N2 - The task of segmenting cell nuclei in microscope images is a classical image analysis problem. The accurate nuclei segmentation may contribute to development of successful system which automate the analysis of microscope images for pathology detection. In this article we describe a method for semi-supervised training of fuzzy logic engine. The fuzzy logic engine is applied to connect a set of parameters proven to be important for nucleus segmentation. In addition each parameter for itself is detected using a set of fuzzy logic rules. We present results of nuclei segmentation using fuzzy logic set of rules.
AB - The task of segmenting cell nuclei in microscope images is a classical image analysis problem. The accurate nuclei segmentation may contribute to development of successful system which automate the analysis of microscope images for pathology detection. In this article we describe a method for semi-supervised training of fuzzy logic engine. The fuzzy logic engine is applied to connect a set of parameters proven to be important for nucleus segmentation. In addition each parameter for itself is detected using a set of fuzzy logic rules. We present results of nuclei segmentation using fuzzy logic set of rules.
UR - http://www.scopus.com/inward/record.url?scp=20444450506&partnerID=8YFLogxK
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AN - SCOPUS:20444450506
SN - 1522-4880
VL - 2
SP - 2937
EP - 2940
JO - Proceedings - International Conference on Image Processing, ICIP
JF - Proceedings - International Conference on Image Processing, ICIP
T2 - 2004 International Conference on Image Processing, ICIP 2004
Y2 - 18 October 2004 through 21 October 2004
ER -