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Data and metadata required for model development and testing
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@deepakri201 deepakri201 released this 22 Jun 22:02
v1.0.0
807ebc8
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Learn about vigilant mode.

Here we attach the files that are necessary for the model development and training for the MIDL 2024 submission. We include the:

  • pretrained_models - this folder holds the three pre-trained models for the metadata only (random forest classifier based), images only (CNN-based), images+metadata (CNN-based).
    • metadata_only_model.pkl
    • images_only_model/
      • images_only_model_fold0/
      • images_only_model_fold1/
      • images_only_model_fold2/
      • images_only_model_fold3/
    • images_and_metadata_model/
      • images_and_metadata_fold0/
      • images_and_metadata_fold1/
      • images_and_metadata_fold2/
      • images_and_metadata_fold3/
  • scaling_factors.csv - csv file used for scaling the metatdata
  • npy_files/ - this holds the preprocessed mid 2D slices used for training/validation/testing. They are numbered by SOPInstanceUID.
  • df_gt_results.csv - csv that holds necessary data for each slice included, for instance PatientID, SeriesInstanceUID, other DICOM metadata used for classification
Assets 8
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