Learning and combining image neighborhoods using random forests for neonatal brain disease classification.
Veronika A. M. ZimmerBen GlockerNadine HahnerElisenda EixarchGerard SanromáEduard GratacósDaniel RueckertMiguel Ángel González BallesterGemma PiellaPublished in: Medical Image Anal. (2017)
Keyphrases
- random forests
- image classification
- decision trees
- random forest
- machine learning algorithms
- input image
- image features
- supervised learning
- learning algorithm
- tree ensembles
- unsupervised learning
- high resolution
- reinforcement learning
- machine learning
- image processing
- machine learning methods
- mr images
- logistic regression
- feature set
- training set
- image segmentation
- class labels
- support vector
- learning tasks
- object detection
- bounding box
- feature selection
- base learners
- randomized trees
- regression forests
- classification accuracy