Using ProtoPNet for Interpretable Alzheimer's Disease Classification.
Sanaz MohammadjafariMucahit CevikMathusan ThanabalasingamAyse BasarAlzheimer's Disease Neuroimaging InitiativePublished in: Canadian Conference on AI (2021)
Keyphrases
- classification accuracy
- classification rules
- automatic classification
- decision trees
- feature extraction
- classification models
- pattern recognition
- pattern classification
- image classification
- feature selection
- classification algorithm
- classification systems
- supervised learning
- training data
- support vector machine
- support vector machine svm
- classification process
- training set
- feature space
- classification scheme
- unsupervised learning
- feature vectors
- classification rate
- preprocessing
- data sets
- early diagnosis
- disease diagnosis
- classification method
- decision rules
- benchmark datasets
- training samples
- semi supervised