Generation of synthetic training data for SEEG electrodes segmentation.
Anja PantovicXiaoxi RenCédric WemmertIrène OllivierCaroline EssertPublished in: Int. J. Comput. Assist. Radiol. Surg. (2022)
Keyphrases
- training data
- image segmentation
- segmentation algorithm
- decision trees
- segmentation accuracy
- prior knowledge
- level set
- data sets
- multiscale
- real world
- optimal segmentation
- region growing
- classification accuracy
- medical images
- test set
- real images are presented
- computer vision
- domain knowledge
- segmentation method
- grey level
- training set
- medical imaging
- segmentation errors
- generation process
- video sequences
- training process
- shape prior
- noisy data
- image regions
- multiresolution
- semi supervised learning
- edge detection
- supervised learning