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Segmentation of Cervical Cell Images Asli Kale, Selim Aksoy
 

Summary: Segmentation of Cervical Cell Images
Asli Kale, Selim Aksoy
Department of Computer Engineering
Bilkent University
Bilkent, 06800, Ankara, Turkey
{akale,saksoy}@cs.bilkent.edu.tr
Abstract--The key step of a computer-assisted screening
system that aims early diagnosis of cervical cancer is the
accurate segmentation of cells. In this paper, we propose a two-
phase approach to cell segmentation in Pap smear test images
with the challenges of inconsistent staining, poor contrast, and
overlapping cells. The first phase consists of segmenting an
image by a non-parametric hierarchical segmentation algo-
rithm that uses spectral and shape information as well as
the gradient information. The second phase aims to obtain
nucleus regions and cytoplasm areas by classifying the segments
resulting from the first phase based on their spectral and shape
features. Experiments using two data sets show that our method
performs well for images containing both a single cell and many
overlapping cells.

  

Source: Aksoy, Selim - Department of Computer Engineering, Bilkent University

 

Collections: Computer Technologies and Information Sciences