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...

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Detalles Bibliográficos
Autores principales: Cattell, Liam, Platsch, Günther, Pfeiffer, Richie, Declerck, Jérôme, Schnabel, Julia A., Hutton, Chloe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Article
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

Internet

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

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