A.: DCE-MRI data analysis for cancer area classification. Methods of information in medicine 48

Objective: the paper aims at improving the support of medical researchers in the context of in-vivo cancer imaging. Morphological and functional parameters obtained by Dynamic Contrast-Enhanced MRI (DCE-MRI) techniques are analyzed, which aim at investigating the development of tumor microvessels. The main contribution consists in proposing a machine learning methodology to segment automatically these MRI data, by isolating tumor areas with different meaning, in a histological sense. Method: the proposed approach is based on a three-step procedure: (i) robust features extraction from raw time-intensity curves, (ii) voxels segmentation, and (iii) voxel classification based on a learning-by-example approach. In the first