Discriminative dictionary learning for abdominal multi-organ segmentation
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open access
Graphical abstract
The framework of the multi-resolution segmentation process. The proposed DDLS approach is performed to generate probabilistic atlas for each organ, which propagates across resolutions. The segmentation mask at current resolution is limited to the voxels with uncertain segmentations at the previous resolution. The final segmentation is achieved by using the graph-cuts algorithm in the native space.
Keywords
Abdominal multi-organ segmentation
Discriminative dictionary learning
Local atlas selection
Patch based
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Copyright © 2015 The Authors. Published by Elsevier B.V.