A novel deep learning approach using AlexNet for the classification of electroencephalograms in Alzheimer's Disease and Mild Cognitive Impairment.
Rachel DrageJavier EscuderoMario A. ParraBrian ScallyRenato AnghinahAmanda Vitória Lacerda De AraújoLuis F. BasileDaniel AbásoloPublished in: EMBC (2022)
Keyphrases
- deep learning
- unsupervised learning
- mild cognitive impairment
- high degree of accuracy
- machine learning
- pattern recognition
- decision trees
- normal controls
- early diagnosis
- text classification
- support vector
- data mining
- feature selection
- support vector machine
- object recognition
- image processing
- image classification
- wide range
- early stage
- computer aided diagnosis
- brain images
- feature extraction
- feature set
- dimensionality reduction
- feature vectors
- feature space