System analysis and model of disease identification based on medical images

Abstract

In given article, we investigate medical images and develop an intelligent system for identification of the disease on their basis. The paper proposes an approach to finding the affected tissue areas in medical images. To find them, a mask was extracted for training a neural network. Mask extraction was carried out using annotations, where polygons with affected tissues were identified. The studied objects were assigned to different classifications of morbidity.