A glass-box CNN-EBM hybrid diagnoses Alzheimer's disease and predicts progression with accuracy on par with black-box models while exposing the brain regions behind each decision.
Convolutional neural networks for classification of Alzheimer’s disease: Overview and reproducible evaluation,
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GL-ICNN: An End-To-End Interpretable Convolutional Neural Network for the Diagnosis and Prediction of Alzheimer's Disease
A glass-box CNN-EBM hybrid diagnoses Alzheimer's disease and predicts progression with accuracy on par with black-box models while exposing the brain regions behind each decision.