Comparison of machine learning and semi-quantification algorithms for (I123)FP-CIT classification: the beginning of the end for semi-quantification?

BACKGROUND: Semi-quantification methods are well established in the clinic for assisted reporting of (I123) Ioflupane images. Arguably, these are limited diagnostic tools. Recent research has demonstrated the potential for improved classification performance offered by machine learning algorithms. A...

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Detalles Bibliográficos
Autores principales: Taylor, Jonathan Christopher, Fenner, John Wesley
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2017
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5707214/
https://www.ncbi.nlm.nih.gov/pubmed/29188397
http://dx.doi.org/10.1186/s40658-017-0196-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5707214/
https://www.ncbi.nlm.nih.gov/pubmed/29188397
http://dx.doi.org/10.1186/s40658-017-0196-1

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