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Hi,
according to the CheXpert leaderboard (https://stanfordmlgroup.github.io/competitions/chexpert/), you approach is the first when combined with Ensemble Models;
I am studying the interactions b…
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Thanks for open sourcing your labeler! I'm running into the following error with the sample reports:
> /root/miniconda3/envs/chexpert-label/lib/python3.8/site-packages/StanfordDependencies/JPypeBac…
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Hi, thanks for your work and code.
Could you kindly release the CheXpert 5x200 dataset used in your work. Since the text is randomly selected, it would be difficult to ensure the fair comparison fo…
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I am using the chexpert data to transform the picture.
And I found a mistake (maybe).
During the dataload in chexpert dataset. The abnormal label is 0, and the normal label is 1.
But I found the co…
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'UserWarning: This jar doesn't support universal dependencies, falling back to Stanford Dependencies. To suppress this message, call with universal=False
warnings.warn("This jar doesn't support uni…
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When I train the "classifer_train.py" on the chexpert dataset, it keeps printing the length of the training set, does not run to the next step, and also does not generate a saved model file.
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Can you please help as i am unable to understand how to run the code. I would be grateful to you if you could help in this regard. I want to present this paper to my fellow student for the work that y…
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Hi @blackboxradiology , please can you share the pre-trained model of the datasets, e.g the ChexPert, Mimic CXR, etc.
Thank you
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👋 Hi! Thanks for your code, and I have a question to confirm.
When you used [chexpert-labeler](https://github.com/stanfordmlgroup/chexpert-labeler) to get `chexpert_labeled.csv`, did you proofread…
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Hi, this code helped me a lot. May I ask how to use this code? How can the dataset/ui_xray code run successfully? What should I do if I want to use chexpert to extract the labels of the iu_xray datase…