Automated Extraction of the Cortical Sulci Based on a Supervised Learning Approach.
Zhuowen TuSongfeng ZhengAlan L. YuilleAllan L. ReissRebecca A. DuttonAgatha D. LeeAlbert M. GalaburdaIvo D. DinovPaul M. ThompsonArthur W. TogaPublished in: IEEE Trans. Medical Imaging (2007)
Keyphrases
- supervised learning
- cortical surface
- cortical thickness
- cortical folding
- anatomical features
- unsupervised learning
- cerebral cortex
- machine learning
- training data
- learning problems
- supervised classification
- active learning
- statistical learning
- learning tasks
- cortical regions
- supervised machine learning
- training examples
- reinforcement learning
- labeled data
- learning algorithm
- semi supervised learning
- training set
- brain mr images
- training samples
- generalization error
- anatomical structures
- receptive fields
- semi supervised
- multiple instance learning
- surface registration
- class labels
- unlabeled data
- neural network
- data sets
- anatomical landmarks
- object recognition
- inter subject
- biologically plausible
- multi class
- parameter space