Combining Deep Learning and Active Contours Opens The Way to Robust, Automated Analysis of Brain Cytoarchitectonics.
Konstantin ThierbachPierre-Louis BazinWalter de BackFilippos GavriilidisEvgeniya KirilinaCarsten JägerMarkus MorawskiStefan GeyerNikolaus WeiskopfNico ScherfPublished in: MLMI@MICCAI (2018)
Keyphrases
- active contours
- automated analysis
- deep learning
- active contour model
- level set
- shape prior
- image segmentation
- segmentation method
- level set method
- unsupervised learning
- energy function
- gradient vector flow
- machine learning
- visual analysis
- energy functional
- external force
- weakly supervised
- partial occlusion
- video analysis
- probabilistic model
- multiscale
- image processing