- Tytuł:
- A Self-Interpretable Deep Learning Model for Seizure Prediction Using a Multi-Scale Prototypical Part Network.
- Autorzy:
- Źródło:
- IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society [IEEE Trans Neural Syst Rehabil Eng] 2023; Vol. 31, pp. 1847-1856.
- Typ publikacji:
- Journal Article; Research Support, Non-U.S. Gov't
- MeSH Terms:
-
Deep Learning*
Epilepsy*/diagnosisPredictive Value ofTests *
Animals ; Dogs ; Algorithms ; Electroencephalography/methods ; Quality of Life ; Seizures/diagnosis ; Computer Simulation ; Humans ; Sensitivity and Specificity
Czasopismo naukowe