Biologically grounded synthetic cerebrovasculature models for validation of segmentation algorithms.
Michael R. NowakDonghyeop HanYoonsuck ChoePublished in: ISBI (2017)
Keyphrases
- statistical models
- image segmentation
- problems in image processing
- computationally efficient
- learning algorithm
- image segmentation algorithms
- learning models
- data mining techniques
- level set
- benchmark datasets
- computational cost
- machine learning algorithms
- computational complexity
- segmentation method
- segmentation algorithm
- significant improvement
- parameter estimation
- theoretical analysis
- model selection
- region growing
- worst case
- variational methods
- learned models
- object detection
- interactive segmentation
- page segmentation
- ground truth