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Image ServiceAn advanced machine learning techniques for analysis and interpretation of real time microscopic images designed for your convenience
The aim of COVID-19 CT & X-ray Image Data Stock is to create a public pool of CT and X-ray images of lungs to increase the efficiency of distinguishing COVID-19 from other types of pneumonia and from healthy lungs. We hope this can help to prepare a "ground" for distinguishing between newly discovered and already known viruses and bacteria strains causing pneumonia in order to improve diagnostics in the event of subsequent pandemics. For this reason we included COVID-19-negative samples of several classes which include healthy chest (negative control) and various types of pneumonia (bacterial, fungal, viral). The images which constitute COVID-19 CT & X-ray Image Data Stock were compiled from public sources. Most of the images come from websites with image collections and about 150 images were collected from online publications. The attributes in a data stock are shown in the table below (Table 1). The database prepared by us is available for everyone registered in Image Service. Until the inhibition of COVID-19 pandemic, the database will be updated monthly. IMPORTANT NOTE: Registration to Image Service is free.
| Attribute | Description |
|---|---|
| patient ID | internal identifier |
| file name | name of the file including extension |
| type of image | X-ray or CT |
| section of image | sagittal, axial or coronal |
| diagnosis | healthy chest, COVID-19, bacterial pneumonia, viral pneumonia, fungal pneumonia, or ARDS |
| presence of marks | presence of marks marked by radiologist |
| group train/valid/test | belonging to the train, valid or test group |
| lung presence | the entire surface of the lungs are visible, invisible lungs or only part of the lungs are visible |
| origin | URL of the paper or website where the image came from |
| suitable/not suitable for diagnosis | information if image is suitable or not for diagnosis |
