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We are building an open database of COVID-19 cases with chest X-ray or CT images.

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Hello! Can you please tell where did you pick literature on X-RAY images? I mean what parts of X-RAY point at some diagnosis. Thank you!

This dataset is set up in a multi-label way, however most labels co-occur. The below table shows counts of unique label combinations over the 514 images in the AP and...

Hi @ieee8023 thank you for maintaining this dataset! I implemented a [pytorch lightning wrapper for a DenseNet model](https://github.com/oplatek/lightning-Covid19/tree/feature/baseline-model) for covid-chestxray-dataset. It is kick of a [Pytorch Lightning's](https://github.com/PyTorchLightning/pytorch-lightning) community [project](https://github.com/PyTorchLightning/lightning-Covid19) which...

question

Data is here: [Pneumonia severity scores for 94 images](https://github.com/ieee8023/covid-chestxray-dataset/blob/master/annotations/covid-severity-scores.csv) - **geographic_extent_mean**: The extent of lung involvement by ground glass opacity or consolidation for each lung. The total extent score ranged...

annotation

Hi, you might be interested in this 100 CT slice dataset of 60 patients that we have segmented: http://medicalsegmentation.com/covid19/ Feel free to add to your list if you find it...

Lately came across this source which contains a fair amount of CXR/CT screenings from COVID patients. https://radiologyassistant.nl/chest/lk-jg-1 Not sure about the license though. Please close if not applicable.

Some cases reported on the Spanish Medical Radiology Association (some are for teaching and others from around the world that maybe they are already in this dataset) https://covid19.espacio-seram.com/index.php

Publication to add

With obtaining CT / MRI / X-ray Datasets generated from several different places, we have faced a problem, garbage mixed with good images. I would like an algorithm / network...

question

Normally digital x-ray image has DICOM format. And it has more bit depth, then jpeg.