Multi-resolution graph-based analysis of histopathological whole slide images: Application to mitotic cell extraction and visualization (original) (raw)

2011, Computerized Medical Imaging and Graphics

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 label regularization is performed to obtain more accurate segmentation around boundaries. The proposed segmentation is fully unsupervised by using domain specific knowledge. (V. Roullier). histopathological images is a very challenging task . First, the produced images are relatively huge and their processing requires computationally efficient tools. Second, the biological variability of the objects of interest makes their extraction difficult. As a consequence, few works in literature have considered the processing of whole slide images and most of these works rely only on machine learning techniques .