Joseph Paul Cohen

As used in this work: https://proceedings.mlr.press/v143/ozer21a.html the Object CXR dataset could be used a proxy. Here is the dataloader for that dataset: https://github.com/mlmed/torchxrayvision/blob/master/torchxrayvision/datasets.py#L1768 and the dataset is available here: https://academictorrents.com/details/fdc91f11d7010f7259a05403fc9d00079a09f5d5

Yes I used this script for resizing. It uses the utility `convert` to do the resizing. https://github.com/mlmed/torchxrayvision/blob/master/scripts/convert-single.sh The convert-all.sh script will iterate over each image and call the single script...

> are these kappa score or probability values They are probability values > The image I took says that it has Pneumonia but the output gives The model may be...

Currently no. But it looks like a very awesome dataset that we should have. Here is a notebook showing the current datasets with mask information: https://github.com/mlmed/torchxrayvision/blob/master/scripts/xray_masks.ipynb

Thanks for that info! Do you know how to work with the data already? Can you help me get started with a dataset that loads the masks similar to the...

Hey! We are coordinating here on who has the time to do it. Sorry for the delay! I'll get back to you with an update in a few days.

Hey so some questions for you. I was able to get the model loaded by using the resnet code in your repo. I was able to extract just the encoder_q...

Would this be the right normalization? `torchvision.transforms.Normalize(0.658, 0.221)`

I have a PR open here: https://github.com/mlmed/torchxrayvision/pull/122 The model weights will download automatically. I'm not sure the processing is correct because a UMAP of the representations doesn't look good. I...

So if I do this with torchvision.transforms.Normalize(0.658, 0.221) ``` x -= x.min() x /= (x.max() - x.min()) x = self.normalize(x) ``` The values appear to be between -3 and 3...