Comments (6)
If any study is missing "findings", the text column should be [impression]. Sorry for insufficient description.
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If any study is missing "findings", the text column should be [impression]. Sorry for insufficient description.
Thank you for your clarifications! I am also curious whether other text cleaning steps are required, such as removing the "\n" in the text, etc. I know this is kinda trivial, but I just wanna double check.
Thanks in advance :)
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Yes we removed "\n". uppercase letter and lowercase letter don't matter because it will be processed by tokenizer.
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Hi! I'm wondering how long does it takes in the augmentation stage, I used 1 A40 GPU to handle it, but is shows that it needs 13h to finish. Is that normal?
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I think it is normal. This process includes sequential two models with beam search. So it will take some time.
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Hi @kihyunU
It is a meaningful work.
I would like to ask:
The "text" in each subject is like: [[Findings1,Impression1],[Findings2,Impression2][Findings3,Impression3]...[Findings,Impression]].
Is this correct?
Thank you
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Related Issues (12)
- pre-trained checkpoints for CXR-CLIP?
- Some confusion about pre training datasets HOT 1
- How to resume my training? HOT 2
- [BOS] and [EOS] token missing HOT 1
- Some questions about data processing HOT 5
- How to tackle missing both impressions and findings sections HOT 1
- Cannot reproduce the results in the paper HOT 2
- The RSNA Pneumonia dataset only contains binary labels for normal and pneumonia cases. Why is it possible to use this dataset for multi-label classification? HOT 1
- The checkpoints provided does not give expected result HOT 4
- About few-shot evaluation HOT 1
- Cannot read the pretrained weights
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