This paper describes cytological image segmentation and diagnosis method. The analysis includes an expert database supported Hough transform for irregular structures, image pre-processing and pre-segmentation, nuclei features extraction and final diagnosis stage. One can also find here experimental results collected on a hand-prepared benchmark database that show the quality of the proposed method for typical and non-typical cases.
CITATION STYLE
Hrebień, M., & Korbicz, J. (2009). Database supported fine needle biopsy material diagnosis routine. Advances in Intelligent and Soft Computing, 57, 373–380. https://doi.org/10.1007/978-3-540-93905-4_44
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