Segmentation of Hyperacute Cerebral Infarcts Based on Sparse Representation of Diffusion Weighted Imaging
Segmentation of infarcts at hyperacute stage is challenging as they exhibit substantial variability which may even be hard for experts to delineate manually. In this paper, a sparse representation based classification method is explored. For each patient, four volumetric data items including three v...
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Veröffentlicht in: | Computational and mathematical methods in medicine 2016-01, Vol.2016 (2016), p.1-14 |
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Sprache: | eng |
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