Detection of pathological cells in phase contrast cytological images

Authors:
Marcin Smereka;Grzegorz Glab
Affiliations:
Institute of Computer Engineering, Control & Robotics, Wroclaw University of Technology, Wroclaw, Poland;Gynecological Clinic GMW, Opole, Poland
Venue:
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
Year:
2006

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Abstract

This paper presents a practical combination of image processing and pattern recognition techniques in order to identify pathological and atypical cells in phase contrast cytological images. The algorithms involved in the processing cover: oriented edge detection, ridge following, contour grouping and ellipse fitting. The Hough Transform and other techniques are discussed for comparison. Various pattern recognition techniques are tested and compared. All the exploited algorithms were customized to reflect specificity of phase contrast images and apriori–knowledge of cytological smear. Possible applications of this algorithm for automated screening systems are enumerated.