A fast approach for hippocampal segmentation from T1-MRI for predicting progression in Alzheimer's disease from elderly controls
| Autores: | , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2016 |
| País: | España |
| Institución: | Universidad Politécnica de Madrid |
| Repositorio: | Archivo Digital UPM |
| OAI Identifier: | oai:dnet:archivodigit::6513ac64e0f851a4840a0da65105528d |
| Acceso en línea: | https://oa.upm.es/95372/ |
| Access Level: | acceso abierto |
| Palabra clave: | Alzheimer's disease Atlas-based segmentation hippocampal segmentation magnetic resonance imaging ADNI HARMONIZED PROTOCOL Aged Algorithms Alzheimer Disease Alzheimer's Disease AUTOMATIC SEGMENTATION BRAIN EXTRACTION Cognitive dysfunction Disease Progression Female HIPPOCAMPAL SEGMENTATION Hippocampus Humans Image Interpretation Computer-Assisted In-vivo MRI Label fusion Magnetic Resonance Imaging MAGNETIC-RESONANCE IMAGES Male Mild Cognitive Impairment Mutual Information Patch-based label fusion Pattern Recognition Automated Prognosis Software Time Factors TOTAL INTRACRANIAL VOLUME Voxel-Based Morphometry |
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