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Explainable Prostate AI

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  • train_model.py

This script is used to train the base model for the classification of voxels into benign an malignant

  • train_features.py

This script is used to train the feature classifier based on feature annotations of known lesions.

  • inference.py
  • lesion_classifier_inference.py
  • feature_classifier_inference.py

These three scripts are used for inference, whereas lesionClassifier_inference.py and featureClassifier_inference.py are contain the methods which are called from inference.py

Citation

Please cite

Interactive Explainable Deep Learning Model Informs Prostate Cancer Diagnosis at MRI Charlie A Hamm, Georg L Baumgärtner, Felix Biessmann, Nick L Beetz, Alexander Hartenstein, Lynn J Savic, Konrad Froböse, Franziska Dräger, Simon Schallenberg, Madhuri Rudolph, Alexander DJ Baur, Bernd Hamm, Matthias Haas, Sebastian Hofbauer, Hannes Cash, Tobias Penzkofer Radiology 2023 May;307(4):e222276. doi: 10.1148/radiol.222276. Epub 2023 Apr 11.

https://pubmed.ncbi.nlm.nih.gov/37039688/

Rights

Please note that all files are for reproducibility purposes only and are copyright (C) 2023 Quantitative Imaging Lab, Charité Universitätsmedizin Berlin, all rights reserved.

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Explainable AI for Prostate MRI

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