MMHGE: detecting mild cognitive impairment based on multi-atlas multi-view hybrid graph convolutional networks and ensemble learning.
Jin LiuDejiao ZengRui GuoMingming LuFang-Xiang WuJianxin WangPublished in: Clust. Comput. (2021)
Keyphrases
- multi view
- ensemble learning
- ensemble methods
- generalization ability
- semi supervised
- random forest
- d objects
- three dimensional
- base classifiers
- concept drift
- brain images
- ensemble classifier
- unlabeled data
- data fusion
- weighted voting
- benchmark datasets
- prediction accuracy
- support vector machine svm
- medical images
- object recognition