In addition, the Center's experts marked explicitly 50 studies (5% of the total array), where pixels' zones of ground glass opacities and consolidations, specific for COVID-19 are indicated on each CT slice with lung tissue abnormalities. It is the most informative type of marking of CT scan images for artificial intelligence.
"The additional advantage of this dataset is that all CT scans included there were performed in primary healthcare facilities for the adult population. Besides that, it has been posted in public domain, and thin CT slices of up to 1 mm have already been converted into NIFTI format recognized among machine learning professionals, " said Sergey Morozov, Chief regional radiology and instrumental diagnostics officer of Moscow Department of Health, CEO of Diagnostics and Telemedicine Center, Moscow.
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Creation of the Russian dataset of CT scans of COVID-19 patients has become a part of the large Moscow Experiment on the use of computer vision technologies in radiology, that launched in February and will be lasting until the end of this year.
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