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Code for the paper "RECAP: Towards Precise Radiology Report Generation via Dynamic Disease Progression Reasoning" (EMNLP'23 Findings).

Home Page: https://wjhou.github.io/Recap/

License: Apache License 2.0

Python 95.76% Shell 4.24%
diagnosis medical-report-generation radiology-report-generation

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recap's Issues

Some questions in paper

Hi there, thanks for sharing your code!

I have a couple of questions while reviewing your paper:

(1)In Table 2, the performance of ORGAN and RECAP for BLUE-2 seems different from Table 1. Is this intentional, or could there be a typo?

(2)In Table 2, the citation refers to Bannur et al. (2023), and they mentioned using the same split as CXR-RePaiR-Sel. However, when I checked the code for CXR-RePaiR-Sel, it seems to have a different split (no finding section, only impression). Can you clarify if you're using the same split as CXR-RePaiR-Sel?

(3)In Table 2, is Chexbert F1 score weighted-F1 score? (Bannur et al. (2023) says they use weighted-F1 score)

Thanks!

How do I obtain the "MIMIC-ABN" dataset?

Perhaps I lack the necessary access permissions, as my PhysioNet account is associated with **@163.com, not Gmail. In this case, how can I obtain access to the MIMIC-ABN dataset?

Additionally, could you please share the file abn_mimic.json with me? My email address is [email protected]. Thank you!
image

Some issues with the files "MIMIC-CXR_graphs.json" and "id2tag.csv"

radgraph_dir="radgraph/1.0.0/MIMIC-CXR_graphs.json"
chexbert_label="./CheXbert/$dataset/id2tag.csv"

Great work! Is this the original file output by RadGraph and CheXbert? At least from the source code, id2tags.csv is not. Can you provide an example of the corresponding files? Similar to temporal_id.json. I am looking forward to your reply. Thank you.

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