Exploiting Discriminative Regions of Brain Slices Based on 2D CNNs for Alzheimer's Disease Classification.
Fujia RenChenhui YangQi QiuNianyin ZengChunting CaiChaoqun HouQuan ZouPublished in: IEEE Access (2019)
Keyphrases
- discriminating features
- classification accuracy
- feature extraction
- eeg signals
- feature selection
- unsupervised learning
- image classification
- support vector machine
- support vector
- decision trees
- discriminative features
- disease diagnosis
- object category recognition
- feature space
- pattern classification
- machine learning
- training set
- input image
- supervised learning
- text classification
- structured output
- highly discriminative