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Optimal weights for local multi-atlas fusion using supervised learning and dynamic information (SuperDyn): Validation on hippocampus segmentation

Khan, Ali R.; Cherbuin, Nicolas; Wen, Wei; Anstey, Kaarin; Sachdev, Perminder Singh; Beg, Mirza Faizal

Description

We developed a novel method for spatially-local selection of atlas-weights in multi-atlas segmentation that combines supervised learning on a training set and dynamic information in the form of local registration accuracy estimates (SuperDyn). Supervised

CollectionsANU Research Publications
Date published: 2011
Type: Journal article
URI: http://hdl.handle.net/1885/66341
Source: Neuroimage
DOI: 10.1016/j.neuroimage.2011.01.078

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