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Cell nuclei segmentation in pap smear test images

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3 Author(s)
Asi Kale ; Bilgisayar Mühendisli¿i Bölümü, Bilkent Üniversitesi, 06800, Ankara, Turkey ; Selim Aksoy ; Sevgen Onder

Cervical cancer is a preventable disease and the dysplasia it causes can be scanned by using a pap smear test. It can be beneficial to develop a computer-assisted diagnosis system to make the pap smear test robust and widespread. The most fundamental part of such a system is the segmentation of nuclei and cytoplasm in cervical cell images. The aim of this study is to segment the nuclei in such images. First, markers on the nuclei are found by using mathematical morphology operations. Based on the obtained markers, marker-based watershed segmentation and balloon snake model are applied to find the nuclei contours in a data set consisting of cervical cell images. The data set is composed of six classes ranging according to the dysplasia degree of the cells. The results are evaluated according to the relative distance error measure, and the strengths and weakness of the methods are discussed.

Published in:

2009 IEEE 17th Signal Processing and Communications Applications Conference

Date of Conference:

9-11 April 2009