A novel technique for modeling susceptibility-based contrast mechanisms for arbitrary microvascular geometries: The finite perturber method.
Arvind P. PathakB. Douglas WardKathleen M. SchmaindaPublished in: NeuroImage (2008)
Keyphrases
- high accuracy
- segmentation method
- synthetic data
- experimental evaluation
- modeling method
- detection method
- theoretical analysis
- clustering method
- main contribution
- neural network
- pairwise
- learning algorithm
- contrast enhancement
- evaluation method
- fully automatic
- classification method
- machine learning
- genetic algorithm
- error rate
- cost function
- image processing
- detection algorithm
- similarity measure
- data sets
- em algorithm
- computational cost