Mitosis extraction in breast-cancer histopathological whole slide images

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Abstract

In this paper, we present a graph-based multi-resolution approach for mitosis extraction in breast cancer histological whole slide images. The proposed segmentation uses a multi-resolution approach which reproduces the slide examination done by a pathologist. Each resolution level is analyzed with a focus of attention resulting from a coarser resolution level analysis. At each resolution level, a spatial refinement by semi-supervised clustering is performed to obtain more accurate segmentation around edges. The proposed segmentation is fully unsupervised by using domain specific knowledge. © 2010 Springer-Verlag.

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Roullier, V., Lézoray, O., Ta, V. T., & Elmoataz, A. (2010). Mitosis extraction in breast-cancer histopathological whole slide images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6453 LNCS, pp. 539–548). https://doi.org/10.1007/978-3-642-17289-2_52

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