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Medical images carry information in a complex data format about the organ and the related pathologies. Physicians must decipher this information from the image. In this paper a workflow of the image interpretation simulation and a set of numerical image processing algorithms are presented. The paper is focused on the available segmentation and feature extraction methods. The main goal is to create a framework to identify the most suitable segmentation and feature extraction method for a medical image interpretation system.