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We tried to recreate your pretrained model in: [Link](https://github.com/mlmed/torchxrayvision/releases/download/v1/nih-pc-chex-mimic_ch-google-openi-kaggle-densenet121-d121-tw-lr001-rot45-tr15-sc15-s…
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While attempting to train a model for the `CXRBinary` task, I'm getting very low GPU utilisation (~5%), with batches taking a very long time to load onto the GPU.
I'm using 4 CPUs and a 32GB V100, …
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Thank you for all the work in creating Monai!
I'm new to the framework and curious if there are any tutorials on using the `Transchex` model? Is there any paper published related to the model? I c…
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URL's for the open-source datasets used in the experiments are missing in the `data` folder.
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How can I train the rest of labels, what modifications should I do?
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_slackClient.Conversations.History(
does not return the sending users team as exists in the API
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Hi, thanks for making your work available! I'm trying to do a Fairness analysis and as a first step I need to obtain the model's predictions. I'm focusing on the CheXpert dataset and the CheXpert mode…
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Hi @rajpurkar,
Thanks for leading the fantastic chest x-ray projects. Opening an issue to point out tally discrepancy I observed in my downloaded ZIP dataset:
Quote from https://stanfordmlgroup…
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Hello! We are using your chex model to evaluate the whole CheXpert-v1.0-small dataset. Here are the histograms of scores per disease:
![image](https://user-images.githubusercontent.com/55799983/11885…
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Hello,
I am trying to finetune with train_sip.py and the public dataset CheXpert.
At the moment, I simply launched the training by specifying one of the pretrained model available online and the dat…