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This paper describes an early stage of cytological image recognition and presents a comparision of two hybrid segmentation methods. The analysis includes the Hough transform with conjunction to the watershed algorithm and with conjunction to the active contours techniques. One can also find here a short description of image pre-processing and an automatic nucleuses localization mechanisms used in our approach. Preliminary experimental results collected on a hand-prepared benchmark database are also presented with short discussion of common errors and possible future problems.

COMPARISON OF FINE NEEDLE BIOPSY CYTOLOGICAL IMAGE SEGMENTATION METHODS