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Code for Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation (EMNLP-21)
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!
How to obtain and train a model? Why does my Google mailbox show as inaccessible?
WCL/modules/datasets.py 57行
label = example['label']
我看到数据源annotation.json也没有label这一属性,请问如何解决?
请问作者可以提供一下 带有label信息的cluster_annotation.json 吗?
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)
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.
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.
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.
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.
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