Pathological neural networks and artificial neural networks in ALS: diagnostic classification based on pathognomonic neuroimaging features

The description of group-level, genotype- and phenotype-associated imaging traits is academically important, but the practical demands of clinical neurology centre on the accurate classification of individual patients into clinically relevant diagnostic, prognostic and phenotypic categories. Similar...

Descripción completa

Detalles Bibliográficos
Autores principales: Bede, Peter, Murad, Aizuri, Hardiman, Orla
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Original Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9021106/
https://www.ncbi.nlm.nih.gov/pubmed/34585269
http://dx.doi.org/10.1007/s00415-021-10801-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9021106/
https://www.ncbi.nlm.nih.gov/pubmed/34585269
http://dx.doi.org/10.1007/s00415-021-10801-5

Ejemplares similares