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Anonymized dataset of COVID-19 cases with a focus on radiological imaging. This includes images (x-ray / ct) with extensive metadata, such as admission-, ICU-, laboratory-, and patient master-data.

License: Other

Python 100.00%
covid-19 x-ray radiology xray laboratory-data dataset laboratory covid19 covid19-data covid-data

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covid-19-image-repository's Issues

Some images cropped when adding to covid-chestray-dataset

Hi! While adding these images to @ieee8023's covid-chestxray-dataset, I cropped a few to cut out part of the black margin. I just wanted to share the filenames in case you were interested in doing the same thing.

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Thank you so much for making this resource available!

CR vs DX

For modality what is the difference here?

Assume all images are COVID positive?

If the patient is not admitted yet (positive admission offset) should we assume they are COVID positive? Possibly just not testing positive at the moment?

admission_offset

I don't understand this field. It is the days since symptoms/admission?

For example patient 09ec853d with an admission_offset of -21 and an icu_admission_offset -20.0 ? So from this image they went to the ICU in 20 days and then were admitted to the hospital a day after?

Radiological findings

While I appreciate your great work providing images in a public repo, not having labels for images is a problem in my point of view. I have read your guideline for assuming COVID-positive/negative based on admission-offset but some of the CXRs are not clearly having radiological findings of pneumonia.

For example, CXR with patient_id=d3fb252e and image_id=88859dc1 has an admission offset of 0 with most of the other metrics not reported; while it is assumed COVID-19 positive, I think CXR does not show specific findings related to pneumonia. If a radiologist's interpretation could be provided for the images it would be great.

date offset calculation

There is an internal issue with the date offset calculation. We are working on a fix and will update shortly.

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