Joseph Paul Cohen

You can view the code here: https://github.com/mlmed/torchxrayvision/ If you specify weights you will get pretrained DenseNet 121 models based on the models trained for this paper: https://arxiv.org/abs/2002.02497

You can use the dataloader here: https://github.com/mlmed/torchxrayvision just put the paths to the images and csv file.

> can you please elaborate as in how to use the data loader? You can use this as an example: https://github.com/ieee8023/covid-chestxray-dataset/blob/master/scripts/test_dataloader.py

I just created an example here: https://colab.research.google.com/drive/1A-gIZ6Xp-eh2b4CGS6BHH7-OgZtyjeP2

Check out the last two annotations listed here: https://github.com/ieee8023/covid-chestxray-dataset#annotations I believe they have more than just lung annotations.

Here are masks for the RSNA pneumonia dataset: https://github.com/mlmed/torchxrayvision/blob/master/scripts/xray_masks.ipynb

If you find anymore mask datasets please share!

I think many of the open ones are ones that we decided not to add because of quality or ethics approval issues. It would be best to search for new...

Maybe this tutorial on chest X-ray imaging will help: https://m.youtube.com/watch?v=_YN-V4p9GkY&list=PLheiZMDg_8ufxEx9cNVcOYXsT3BppJP4b

It is just missing data. The sources may have been updated since the inages were added. If you find the outcome of patients let me know and I will update...