FIELD: computer tomography.
SUBSTANCE: processing images of computer tomography of the lungs. The technical result is achieved by forming an interval of values on the Hounsfield scale for each of the three pathologies on the computer tomography images of patients; a binary mask taking into account the pixel brightness value; carry out normalization of CT data; carry out concatenation of the data array and three binary masks; send the resulting data array to the input of the convolutional neural network for training.
EFFECT: increasing the accuracy of processing CT image data simultaneously for three pathologies caused by coronavirus infection: ground glass, consolidation, pleural effusion.
8 cl
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