A new ASM framework for left ventricle segmentation exploring slice variability in cardiac MRI volumes
Three-dimensional active shape models use a set of annotated volumes to learn a shape model. Using unique landmarks to define the surface models in the training set, the shape model is able to learn the expected shape and variation modes of the segmentation. This information is then used during the...
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Veröffentlicht in: | Neural computing & applications 2017-09, Vol.28 (9), p.2489-2500 |
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