Le Thi Hoai An, Le Minh Tam, Nguyen Bich Thuy: "A novel approach to automated cell counting based on DCA".

Abstract: Cytological analysis, specially the cell counting, is an important element in the diagnosis of many diseases. Cell segmentation, the major phase of cell counting procedure, was basically performed by intensity thresholding, feature detection, morphological filtering, region accumulation and deformable model fitting. We present in this paper an automatic method for cell counting with segmentation based on Feature Weighted Fuzzy Clustering via a Difference of Convex functions with Optimization Algorithm called DCA. This new application of our method can give promising results compared to the traditional manual analysis despite the very high cell density.

 

Keywords: Image Segmentation, Cell counting, Fuzzy Clustering, DC programming, DCA.

 

Citation: Le Thi Hoai An, Le Minh Tam, Nguyen Bich Thuy, A novel approach to automated cell counting based on DCA, in Computational Collective Intelligence, Costin Badica, Ngoc Thanh Nguyen, Marius Brezovan (Eds), Lecture Notes in Computer Science ISBN 978-3-642-40494-8, volume 8083, pp. 336-345, Springer 2013.

 

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