Towards a standard approach for medical images segmentation

Summary form only given. In this paper we introduce a standard approach for medical images segmentation. In fact, for these images the segmentation consists in the extraction of an area of interest representing the organ subject of diagnosis. We distinguish two approaches depending on whether this area is composed of one region or of many regions. If it is composed of a single region, we introduce a growing region algorithm after a prestep based on fuzzy sets. Otherwise, we introduce an approach integrating a hierarchical system of segmentation in regions and a system of fuzzy classification. We illustrate our approach by applying it on real images in the frameworks of dermatology, neurology and mammography.