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  1. example_data/ctvit-transformer/1/BGC3212225/Thorax 1,50 Bl56 S3_(512, 512).nii.gz +3 -0
  2. example_data/ctvit-transformer/1/BGC3212225/Thorax 1,50 Bl56 S3_(512, 512)_metadata.json +7 -0
  3. example_data/ctvit-transformer/1/BGC3212225/Thorax 1,50 Br40 S3_(512, 512).nii.gz +3 -0
  4. example_data/ctvit-transformer/1/BGC3212225/Thorax 1,50 Br40 S3_(512, 512)_metadata.json +7 -0
  5. example_data/ctvit-transformer/1/BGC3515151/Thorax 1,50 Bl56 S3_(512, 512).nii.gz +3 -0
  6. example_data/ctvit-transformer/1/BGC3515151/Thorax 1,50 Bl56 S3_(512, 512)_metadata.json +7 -0
  7. example_data/ctvit-transformer/1/BGC3515151/Thorax 1,50 Br40 S3_(512, 512).nii.gz +3 -0
  8. example_data/ctvit-transformer/1/BGC3515151/Thorax 1,50 Br40 S3_(512, 512)_metadata.json +7 -0
  9. example_data/ctvit-transformer/2/BGC3109958/Thorax 1,50 Br40 S3_(512, 512).nii.gz +3 -0
  10. example_data/ctvit-transformer/2/BGC3109958/Thorax 1,50 Br40 S3_(512, 512)_metadata.json +7 -0
  11. example_data/ctvit-transformer/2/BGC3109958/Thorax 1,50 Br60 S3_(512, 512).nii.gz +3 -0
  12. example_data/ctvit-transformer/2/BGC3109958/Thorax 1,50 Br60 S3_(512, 512)_metadata.json +7 -0
  13. example_data/ctvit-transformer/2/BGC3162381/Thorax 1,50 Br40 S3_(512, 512).nii.gz +3 -0
  14. example_data/ctvit-transformer/2/BGC3162381/Thorax 1,50 Br40 S3_(512, 512)_metadata.json +7 -0
  15. example_data/ctvit-transformer/2/BGC3162381/Thorax 1,50 Br60 S3_(512, 512).nii.gz +3 -0
  16. example_data/ctvit-transformer/2/BGC3162381/Thorax 1,50 Br60 S3_(512, 512)_metadata.json +7 -0
  17. example_data/ctvit-transformer/2/BGC3176800/Thorax 1,50 Br40 S3_(512, 512).nii.gz +3 -0
  18. example_data/ctvit-transformer/2/BGC3176800/Thorax 1,50 Br40 S3_(512, 512)_metadata.json +7 -0
  19. example_data/ctvit-transformer/2/BGC3176800/Thorax 1,50 Br60 S3_(512, 512).nii.gz +3 -0
  20. example_data/ctvit-transformer/2/BGC3176800/Thorax 1,50 Br60 S3_(512, 512)_metadata.json +7 -0
  21. example_data/data_reports.xlsx +0 -0
  22. example_data/json_anonmyze.py +26 -0
  23. example_data/superres/cvivit_outputs/samples.BGC3109958/Thorax 1,50 Br40 S3_(512, 512).nii.gz.nii.gz +3 -0
  24. example_data/superres/cvivit_outputs/samples.BGC3109958/Thorax 1,50 Br60 S3_(512, 512).nii.gz.nii.gz +3 -0
  25. example_data/superres/cvivit_outputs/samples.BGC3162381/Thorax 1,50 Br40 S3_(512, 512).nii.gz.nii.gz +3 -0
  26. example_data/superres/cvivit_outputs/samples.BGC3162381/Thorax 1,50 Br60 S3_(512, 512).nii.gz.nii.gz +3 -0
  27. example_data/superres/cvivit_outputs/samples.BGC3176800/Thorax 1,50 Br40 S3_(512, 512).nii.gz.nii.gz +3 -0
  28. example_data/superres/cvivit_outputs/samples.BGC3176800/Thorax 1,50 Br60 S3_(512, 512).nii.gz.nii.gz +3 -0
  29. example_data/superres/cvivit_outputs/samples.BGC3212225/Thorax 1,50 Bl56 S3_(512, 512).nii.gz.nii.gz +3 -0
  30. example_data/superres/cvivit_outputs/samples.BGC3212225/Thorax 1,50 Br40 S3_(512, 512).nii.gz.nii.gz +3 -0
  31. example_data/superres/cvivit_outputs/samples.BGC3515151/Thorax 1,50 Bl56 S3_(512, 512).nii.gz.nii.gz +3 -0
  32. example_data/superres/cvivit_outputs/samples.BGC3515151/Thorax 1,50 Br40 S3_(512, 512).nii.gz.nii.gz +3 -0
  33. pretrained_models/ctvit_pretrained.pt +3 -0
  34. pretrained_models/superres_pretrained.pt +3 -0
  35. pretrained_models/transformer_pretrained.pt +3 -0
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example_data/data_reports.xlsx ADDED
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example_data/json_anonmyze.py ADDED
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+ import os
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+ import json
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+
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+ def process_json_file(file_path):
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+ # Read the JSON file
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+ with open(file_path, 'r') as file:
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+ data = json.load(file)
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+
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+ # Extract the desired keys
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+ desired_keys = ["PatientAge", "PatientSex", "Manufacturer", "RescaleIntercept", "RescaleSlope"]
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+ cleaned_data = {key: data[key] for key in desired_keys if key in data}
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+
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+ # Write the cleaned JSON back to the file
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+ with open(file_path, 'w') as file:
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+ json.dump(cleaned_data, file, indent=4)
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+
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+ def scan_folder(folder_path):
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+ for root, dirs, files in os.walk(folder_path):
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+ for file in files:
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+ if file.endswith('.json'):
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+ file_path = os.path.join(root, file)
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+ process_json_file(file_path)
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+
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+ # Provide the folder path to start the scanning
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+ folder_path = 'ctvit-transformer'
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+ scan_folder(folder_path)
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