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Implementation of High Dimensional Feature Map for Segmentation of MR Images
A method that considerably reduces the computational and memory complexities associated with the generation of high dimensional (≥3) feature maps for image segmentation is described. The method is based on the K-nearest neighbor (KNN) classification and consists of two parts: preprocessing of featur...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2005
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1409759/ https://ncbi.nlm.nih.gov/pubmed/16240091 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10439-005-5888-3 |
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