Interpretable surrogate models to approximate the predictions of convolutional neural networks in glaucoma diagnosis.
José F. SigutFrancisco FumeroRafael ArnayJosé EstévezTinguaro Díaz-AlemánPublished in: Mach. Learn. Sci. Technol. (2023)
Keyphrases
- convolutional neural networks
- optic nerve
- convolutional network
- fault diagnosis
- online auctions
- model based diagnosis
- diagnostic tests
- medical diagnosis
- fault detection
- multiple faults
- clinically relevant
- medical diagnostic
- diagnostic process
- root cause
- automatic diagnosis
- data sets
- causal reasoning
- blood vessels
- lower bound