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Non-Euclidean Classification of Medically Imaged Objects via S-reps
Classifying medically imaged objects, e.g., into diseased and normal classes, has been one of the important goals in medical imaging. We propose a novel classification scheme that uses a skeletal representation to provide rich non-Euclidean geometric object properties. Our statistical method combine...
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| Publicado en: | Med Image Anal |
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| Autores principales: | , , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2016
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4821729/ https://ncbi.nlm.nih.gov/pubmed/26963609 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.media.2016.01.007 |
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