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Code for Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation (EMNLP-21)

Python 99.15% Shell 0.85%
pytorch deep-learning healthcare-application image-captioning medical radiology

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wcl's Issues

when i running your code, there occur a KeyError problem

the problem is as following:
File "/Users/shihaozhe/WCL-main/modules/datasets.py", line 57, in getitem
label = example['label']
KeyError: 'label'

when I check the annotation.json, I don't find the label too , so how do I solve this problem, what does the label mean? any suggestions?
hoping for your reply, thx.

ChestBert and K-Means

Hi Authors:

Thank you for the great work. However, I have not found the ChestBert and K-Means implementation from your code. Most of the part are similar from the R2GEN expect the contrastive loss. Could you please point me where are the ChestBert and K-Means implementation,

Thank you.

train setting

Hello, I follow your training setting in run_mimic_cxr.sh, but I got the BLEU_1 score is 36. so what I shoud do to achieve you score in your paper. (I run your code on 1 V100)

Preprocessing of MIMIC dataset

I checked at the site for MIMIC datasets mentioned. The site mentions total uncompressed size: 557.6 GB.
Can you let me know the resized image size. Is it 512x512.

Can you share the script for preprocessing the data from downloaded data set.

KeyError: 'label'

请问作者可以提供一下 带有label信息的cluster_annotation.json 吗?

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

Maybe I don't have access permissions. Since my PhysioNet account is **@163.com, not Gmail. How should I obtain the MIMIC-ABN dataset in this situation? Thank you!

Regarding MIMIC dataset

I checked at the site for MIMIC datasets mentioned.
The site mentions it as size below.
Total uncompressed size: 557.6 GB.

Can you please let me know the size after resizing to 512 x 512.
Is it possible to share the resized data set.

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