Abstract
This paper presents a straightforward top-down segmentation method based on a contour approach on histological images. Our approach relies on a digital deformable model whose internal energy is based on the minimum length polygon and that uses a greedy algorithm to minimise its energy. Experiments on real histological images of breast cancer yields results as good as that of classical active contours.
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De Vieilleville, F., Lachaud, J.O., Herlin, P., Lezoray, O., Plancoulaine, B. (2009). Top-Down Segmentation of Histological Images Using a Digital Deformable Model. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2009. Lecture Notes in Computer Science, vol 5875. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10331-5_31
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DOI: https://doi.org/10.1007/978-3-642-10331-5_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-10330-8
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