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.
Intelligible models for classification and regression,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
method 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1roles
method 1polarities
use method 1representative citing papers
citing papers explorer
-
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.