Deep transfer learning-based fully automated detection and classification of Alzheimer's disease on brain MRI.
Hamed GhaffariHassan TavakoliGila Pirzad JahromiPublished in: The British journal of radiology (2022)
We used CNN-based TL approaches and the augmentation techniques to overcome the insufficient data problem. Our study provides evidence that deep TL algorithms can be used for both binary and multiclass classification of AD with high accuracy.
Keyphrases
- machine learning
- deep learning
- convolutional neural network
- big data
- artificial intelligence
- magnetic resonance imaging
- contrast enhanced
- electronic health record
- cognitive decline
- white matter
- cerebral ischemia
- loop mediated isothermal amplification
- mild cognitive impairment
- magnetic resonance
- data analysis
- subarachnoid hemorrhage
- single cell
- functional connectivity
- quantum dots