Abstract
This paper presents an automatic cell counting method for a microscopic tissue image from breast cancer. We perform color space changing from RGB to CIELab and anisotropic diffusion filtering for noise removal in the preprocessing stage. Subsequently, the segmentation algorithm based on local adaptive thresholding, morphological operations, and cell size considerations is performed. In order to obtain the more correct counting number of cancer cells, we further process the image containing attached cancer cells with marker-controlled watershed segmentation. Results from our automatic counting approach show a promising solution to the traditional manual analysis. That is, the counting number of cancer cells from the automatic approach is comparable to that from a specialist.
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© 2007 Springer-Verlag Berlin Heidelberg
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Phukpattaranont, P., Boonyaphiphat, P. (2007). An Automatic Cell Counting Method for a Microscopic Tissue Image from Breast Cancer. In: Ibrahim, F., Osman, N.A.A., Usman, J., Kadri, N.A. (eds) 3rd Kuala Lumpur International Conference on Biomedical Engineering 2006. IFMBE Proceedings, vol 15. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68017-8_63
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DOI: https://doi.org/10.1007/978-3-540-68017-8_63
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-68016-1
Online ISBN: 978-3-540-68017-8
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