This study examined the problems associated with the registration and visualisation of medical images. Scientific computing in the field of medicine was carried out and an intelligent system was developed to identify diseases based on these images. An approach to detecting affected tissue areas in medical images was proposed. To achieve this goal, a neural network was used, which was trained to identify masks of affected areas. The masks were identified by annotation, where polygons with affected tissues were highlighted. The objects under study were classified by disease type.
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