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The MIMIC-CXR dataset is a large publicly available dataset
of chest radiographs in the JPEG format with structured labels derived from
free-text radiology reports. The dataset contains 377,110 JPEG…
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The link for the MIMIC-CXR download has been restricted. What would be the way to request the access? Is the MIMIC-CXR used in the study the same as the MIMIC-CXR-JPG so I can just download from there…
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Great work! Reading the code, but can't find information about how mimic-cxr-ehr-split.csv got generated. Is it possible to share the idea how this file get generated?
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Could you please provide the annotation of mimic_cxr? Without this annotation, I cannot directly use your checkpoint for testing.
Looking forward to your reply.
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Hi! Thanks for your contribution. It is an excellent piece of work!
The trained model is saved in last.ckpt format, but it cannot be directly tested using the test command in the repository.
```py…
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@eigenvivek hello,
I segmented and cropped an L4 spine based on the original DICOM data, and the results of the DRR rendering are as follows:
![image](https://github.com/user-attachments/assets/17a…
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It seems that the mimic dataset has been modified and the txt file has been removed. Can you share the mimic data set with txt file?
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Hi @baeseongsu, apologies for bothering you again, but I have a few detailed questions that I hope you can help me with.
1. What does "VQA grounding" refer to in section E.1.3?
2. Could you explai…
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Hi! Thanks for your contribution. It is an excellent piece of work!
My task language is Chinese. I have trained a Chinese tokenizer and trained it from scratch, but I have the following questions:
…
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Hello,
In your paper, you mentioned using the "OL3I Opportunistic L3 computed tomography slices" dataset. However, I am having difficulty identifying which name corresponds to the OL3I dataset in t…