Nowadays the multi-layer computed tomography (CT) shots with contrast dye used for detection of small pathological growths regions are widespread in medical clinics. Although, CT study with contrast dye use has contraindications and is much more expensive for patients than study without use of dye. This article proposes the algorithm based on segmentation of multi-layer CT (without dye use). The algorithm allows to automatically identify pathological growths and to detect studying object regions. Algorithm also evaluates parameters of small objects and sinuses, which occupy only small part of initial CT layers, with high accuracy.
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