Algorithmization of the Process of Recognition of Biological Objects by Computed Tomography

This paper studies the results from the development of a model of a system for disease diagnosis based on an analytical method by image segmentation. Image segmentation has shown excellent efficiency for processing images acquired by computed tomography. The proposed model of a system for diagnosis has substantially enlarged the possibilities for an integrated approach when solving problems and discovering pathologies. This model has been tested on a computed tomography image – human brain with lesion.