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Graph-based multi-resolution segmentation of histological whole slide images

Vincent Roullier 1 Vinh Thong Ta 1 Olivier Lezoray 1 Abderrahim Elmoataz 1
1 Equipe Image - Laboratoire GREYC - UMR6072
GREYC - Groupe de Recherche en Informatique, Image, Automatique et Instrumentation de Caen
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 multiresolution 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.
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Vincent Roullier, Vinh Thong Ta, Olivier Lezoray, Abderrahim Elmoataz. Graph-based multi-resolution segmentation of histological whole slide images. International Symposium on Biomedical Imaging, 2010, Rotterdam, Netherlands. pp.153-156, ⟨10.1109/ISBI.2010.5490390⟩. ⟨hal-00521067⟩



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