Interpretable deep learning-based hippocampal sclerosis classification.
Dohyun KimJungtae LeeJangsup MoonTaesup MoonPublished in: Epilepsia open (2022)
The current interpretable deep learning-based model is promising for adapting effectively to clinical settings by utilizing commonly used data, such as MRI, with realistic abnormalities faced by neurologists to support the diagnosis of hippocampal sclerosis with plausible visual interpretation.
Keyphrases
- deep learning
- temporal lobe epilepsy
- artificial intelligence
- convolutional neural network
- machine learning
- magnetic resonance imaging
- big data
- contrast enhanced
- cerebral ischemia
- electronic health record
- diffusion weighted imaging
- computed tomography
- magnetic resonance
- blood brain barrier
- data analysis
- subarachnoid hemorrhage