Ensembles of Patch-Based Classifiers for Diagnosis of Alzheimer Diseases.
Samsuddin AhmedKyu Yeong ChoiJang Jae LeeByeong C. KimGoo-Rak KwonKun Ho LeeHo Yub JungPublished in: IEEE Access (2019)
Keyphrases
- early diagnosis
- ensemble classifier
- decision trees
- ensemble learning
- clinically relevant
- classifier ensemble
- clinical diagnosis
- diversity measures
- disease diagnosis
- multiple classifier systems
- combining classifiers
- weighted voting
- cardiovascular disease
- diagnostic process
- training data
- support vector
- model based diagnosis
- naive bayes
- image completion
- multiple classifiers
- neurodegenerative diseases
- computer aided diagnosis
- imbalanced data
- computer aided
- machine learning algorithms
- medical diagnosis
- feature set
- decision stumps
- training set
- trained classifiers
- image patches
- classifier combination
- majority voting
- classification models
- image super resolution
- classification algorithm
- fault diagnosis
- svm classifier
- ensemble methods
- classification systems
- random forests