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Classification of amyloid status using machine learning with histograms of oriented 3D gradients
Brain amyloid burden may be quantitatively assessed from positron emission tomography imaging using standardised uptake value ratios. Using these ratios as an adjunct to visual image assessment has been shown to improve inter-reader reliability, however, the amyloid positivity threshold is dependent...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5153608/ https://www.ncbi.nlm.nih.gov/pubmed/27995065 http://dx.doi.org/10.1016/j.nicl.2016.05.004 |