Automated cell nuclei segmentation in breast cancer fine needle biopsy smears
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چکیده
Reliable segmentation of cell nuclei from microscopic images is an important task in many medical studies. This paper present a novel method for the segmentation of cell nuclei from microscopic images based on fuzzy clustering and ellipse fitting algorithm. It was designed specifically to segment nuclei in breast cancer FNB (Fine Needle Biopsy) cytological images. The segmentation approach takes both the color information and the spatial information into account during detecting the cell nucleus. Because of the presence of the elliptic shape function dissimilarity measure is able to differentiate the pixels with similar color but located in in different regions of the image. Moreover, it is very easy to extract morphometric parameters of the cell nuclei based on parameters of detected ellipses. Simulations and experimental results are provided to demonstrate the performance and generality of the proposed method. The proposed algorithm is able to segment cell nuclei obtained from microscopy imaging with reasonable accuracy.
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تاریخ انتشار 2010