Segmentation of hyper-acute cerebral infarct based on random forest and sparse coding from diffusion weighted imaging.
Xiaodong ZhangAhmed El-AzabQingmao HuPublished in: EMBC (2017)
Keyphrases
- random forest
- sparse coding
- natural images
- sparse representation
- image classification
- linear combination
- decision trees
- unsupervised learning
- feature set
- image representation
- multi label
- generative model
- multiscale
- ensemble methods
- feature space
- image segmentation
- image patches
- high dimensional
- medical images
- human brain
- test images
- base classifiers
- feature extraction