Adding these images to the covid-chestxray-dataset ?

ml-workgroup / covid-19-image-repository

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.

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Adding these images to the covid-chestxray-dataset ? #1

Open ieee8023 opened 4 years ago

ieee8023 commented 4 years ago

Hey! This data release is awesome! Thanks for releasing all this data with the detailed metadata!

I have been building this dataset: https://github.com/ieee8023/covid-chestxray-dataset

I would like to merge your images into this dataset. Is this ok with you? Let me know if not. I don't want to steal the thunder of your dataset!

liob commented 4 years ago

I have seen the fantastic COVID ChestXray Dataset. Great work! We deliberately chose a license that explicitly allows remixing (CC BY 3.0). We would love to see our data integrated. Please include:

DOI: 10.6084/m9.figshare.12275009
location: Hannover Medical School, Hannover, Germany
license: CC BY 3.0
url: https://github.com/ml-workgroup/covid-19-image-repository

We will update this repo constantly. The next data upload is expected next Monday.

Currently, this repo only includes low resolution, low bitrate PNG files. We also have anonymized high-quality Nifti files. Unfortunately, these files are too large to upload them into the repo. At the moment, I send out Dropbox links (sigh) to any interested party. However, we expect to have a direct download solution shortly. If you are interested, I can send you the Nifti files.

ieee8023 commented 4 years ago

This is great! Yes please share the NIFTI files ( joseph@josephpcohen.com ).

I will write a script so it will automatically merge new releases.

If you gzip the NIFTI files they are probably very small right? As an nii.gz? I read the GitHub repo size limit is 100GB.

Otherwise, check out Academic Torrents. I am using it to distribute COVID CT scans.

liob commented 4 years ago

The X-Ray files are up to 25 MB (nii.gz). However, we will include CT scans shortly. These files can exceed 1 GB easily. Github has a hard limit of 100 MB per file max. Academic Torrents sounds interesting. I will take a closer look.

liob commented 4 years ago

Hello @ieee8023,

we have released version 2.0 of the data set. Additionally, the un-altered nifti files are publicly available.

Best, @liob