Abstract
Cell nuclei detection in fluorescent microscopic images is an important and time consuming task for a wide range of biological applications. Blur, clutter, bleed through and partial occlusion of nuclei make this a challenging task for automated detection of individual nuclei using image analysis. This paper proposes a novel and robust detection method based on the active contour framework. The method exploits prior knowledge of the nucleus shape in order to better detect individual nuclei. The method is formulated as the optimization of a convex energy function. The proposed method shows accurate detection results even for clusters of nuclei where state of the art methods fail.
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De Vylder, J., Aelterman, J., Vandewoestyne, M., Lepez, T., Deforce, D., Philips, W. (2012). Cell Nuclei Detection Using Globally Optimal Active Contours with Shape Prior. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2012. Lecture Notes in Computer Science, vol 7432. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33191-6_12
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DOI: https://doi.org/10.1007/978-3-642-33191-6_12
Publisher Name: Springer, Berlin, Heidelberg
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