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Hi guys,
Once again, congrats on the work! This is a quite cool idea and something that I had been thinking of implementing myself before realising you were already on it.
In my planning, I en…
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Hello, thanks for sharing your paper and code, this is a great work! I want to run pretraining swav using my own data, and I am following your code swav_module_lidc.py. To my understanding, there is n…
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![image](https://github.com/user-attachments/assets/eb69235d-315f-4ed8-9f2a-052eb95b243b)
In params.py, I did not find RSPECT_TRAIN_LABELS, RSPECT_VALID_LABELS referred to by from params import TRAIN…
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Reviewed Medical Image Datasets:
1. NIH Clinical Center:
Chest X-Ray Dataset (ChestX-ray8): Contains over 100,000 frontal-view X-ray images of 30,805 unique patients with 14
disease labels…
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May I ask how the label file for your dataset is (.txt) generated or made? What software was used to achieve this?
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Hello, I am trying to preprocess the LIDC dataset but I am getting the following errors.
No DICOM's found for file: /LIDC-IDRI-Preprocessing/LIDC_Dataset/XML_Data/LIDC-XML-only/tcia-lidc-xml/186/0…
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#File paths
metadatapath="D:/LIDC Dataset/LIDC-IDRI_MetaData.csv"
list32path="D:/LIDC Dataset/list3.2.csv"
DOIfolderpath='D:/LIDC Dataset/LIDC-IDRI/'
datafolder='D:/LIDC Dataset/datafolder/'
##…
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Could you please make your processed LIDC-IDRI dataset available?
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Excuse me, is there any dataset after LIDC preprocessing? Can you share it? Thank you very much.
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Hi there,
Thank you for your valuable contribution to the project.
I've been reproducing results on the LIDC dataset, and I have a couple of questions regarding the experimental setup.
I traine…