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Classification of brain disease in magnetic resonance images using two-stage local feature fusion
BACKGROUND: Many classification methods have been proposed based on magnetic resonance images. Most methods rely on measures such as volume, the cerebral cortical thickness and grey matter density. These measures are susceptible to the performance of registration and limited in representation of ana...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5313178/ https://www.ncbi.nlm.nih.gov/pubmed/28207873 http://dx.doi.org/10.1371/journal.pone.0171749 |