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When using command `./scripts/fedbiomed_environment clean` (more especially `clean_researcher.py`), `Researcher`'s `notebooks/data` sub - folders are not fully removed.
For instance if you have …
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which mode did you used? I found three mode to calculate P R and F scores in [https://github.com/MIT-LCP/mimic-cxr/blob/master/txt/validation/compare_negbio_and_chexpert.ipynb](url) ,which is 'mention…
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- [x] \align
- [x] \anchor
- [ ] \bg
- [ ] \fg
- [ ] \hidden
- [ ] \shiftjis
- [ ] \size
- [ ] (and/or \small?)
- [x] \spoiler
- [x] \sub
- [x] \sup
- [x] \ruby
- [ ] \verba…
y-ack updated
2 years ago
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Hello, I encountered the following error when I tried to use your work for MIMIC data and extract labels.The following error is thrown during the program run, but the program does not stop. I don't kn…
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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, I'm trying to train with my own mimic dataset.
I want to run this python file: generative_chestxray/src/python/preprocessing/create_sentences_files.py.
To do that, we need to have the mimic_cx…
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Hi! Thank you so much for your amazing work. I've only question, sometimes, when I tried to inference the model, it somehow generates a total black image, do you have any idea on why it happens?
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Quick question before give the details:
Is the COVIDNet-CXR-2 model trained already? Im asking you guys because I trained the model on Kaggle for 3 epochs and the loss seems to explode. Thanks! Detai…
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Hello, your work on mae is great! Could you please give more details on the MSE loss calculation?
In "lib/models/mae.py", it seems there are many types of loss while some of them are annotated. Which…
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I have download MIMIC-CXR dataset and I want to train a model by myself . But the original images are too big,the total volume is 500GB. Disk IO will be a bottleneck. So is there any script to transfo…