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AI-Vengers

This GitHub repository holds training and validation code for Deep Learning and Machine Learning models to detect racial demographics of patients through the use of medical images.

The data and models folders will be empty as -

  1. The data and model file occupy a large amount of data and cannot be pushed onto GitHub repositories.
  2. Some of the data used to conduct experiments is proprietary. URLs were attached for the open-source datasets.
  3. The trained ML/DL models can be used to re-create the patient information unto certain levels which could leak the proprietary data.

The training data folder has training code for all the experiments. The experiments, corresponding data and model were as following -

Training Folder Name Training File Name Data Model
CXR_training CheXpert_resnet34_race_detection_2021_06_29.ipynb CheXpert ResNet34
CXR_training Emory_CXR_resnet34_race_detection_2021_06_29.ipynb Emory CXR ResNet34
CXR_training MIMIC_resnet34_race_detection_2021_06_29.ipynb MIMIC Resnet34
EM-CS_training Emory_C-spine_race_detection_2021_06_29.ipynb Emory Cervical Spine Resnet34
EM_Mammo_Training training code.ipynb Mammogram EfficientNetB2
Densenet121_CXR_Training Lung_segmentation_MIMIC.ipynb MIMIC U-Net
Densenet121_CXR_Training Race classification with No Finding label only_MIMIC_Densenet121.ipynb MIMIC DenseNet121
Densenet121_CXR_Training Race classification_MIMIC_Densenet121.ipynb MIMIC DenseNet121
Densenet121_CXR_Training Race_classification_Emory_Densenet121.ipynb Emory CXR DenseNet121
digital_hand_atlas dha_2_classes.ipynb Digital Hand Atlas ResNet50

The final ipython-notebook — bias_pred.ipynb has validation code for all the above training models (except frequency training).

To run the validation code -

  1. Fork/Download the GitHub repository.
  2. Fetch the data from the data URLs for open-source datasets and drop them in the data folder.
  3. Run the corresponding training code and save the trained model in the models folder.
  4. Change the model path in the validation code and the corresponding function.

https://emory-hiti.github.io/AI-Vengers/

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  • Jupyter Notebook 98.0%
  • Python 2.0%