Cell nuclei segmentation using fuzzy logic engine

Grigory Begelman, Eran Gur, Ehud Rivlin, Michael Rudzsky, Zeev Zalevsky

    Research output: Contribution to journalConference articlepeer-review

    35 Scopus citations

    Abstract

    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.

    Original languageEnglish
    Pages (from-to)2937-2940
    Number of pages4
    JournalProceedings - International Conference on Image Processing, ICIP
    Volume2
    StatePublished - 2004
    Event2004 International Conference on Image Processing, ICIP 2004 - , Singapore
    Duration: 18 Oct 200421 Oct 2004

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