Dataset with segmentation of affected cells in COVID-19
31 CT images + masks in png format
segmentation, COVID-19, public dataset
We collected and marked up 31 CT scans in different projections. Such a dataset can be used to create detection models and simplify the process of examining patients with COVID-19.
The use of the dataset for commercial purposes is allowed only with the consent of the copyright holder ( )
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One of the most terrible threats of coronavirus infection is the difficulty of timely diagnosis. Due to the possibility of a symptomless course of the disease, it is possible to detect the disease in time only with the help of computer tomography. However, the doctor may not notice tissue damage in the early stages.

That is why the creation of accurate detection models can help automate the examination and detect potential threats that a live specialist may not notice. In this dataset, we selected various projections of lung images and enlisted the advice of doctors who helped to assess the accuracy of the markup.
File dataset
Download a sample covid_demo.rar
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