Machine learning on brain MRI data for differential diagnosis of Parkinson's disease and Progressive Supranuclear Palsy

Autor: C. Salvatore a, A. Cerasa b, I. Castiglioni c, F. Gallivanone c, A. Augimeri b, M. Lopez d, G. Arabia e, M. Morelli e, M.C. Gilardi c, A. Quattrone b, e

Publikováno v: Journal of neuroscience methods 222 (2014): 237. doi:10.1016/j.jneumeth.2013.11.016
info:cnr-pdr/source/autori:C. Salvatore a, A. Cerasa b, I. Castiglioni c,*, F. Gallivanone c, A. Augimeri b, M. Lopez d, G. Arabia e, M. Morelli e, M.C. Gilardi c, A. Quattrone b,e/titolo:Machine learning on brain MRI data for differential diagnosis of Parkinson's disease and Progressive Supranuclear Palsy/doi:10.1016%2Fj.jneumeth.2013.11.016/rivista:Journal of neuroscience methods/anno:2014/pagina_da:237/pagina_a:/intervallo_pagine:237/volume:222
Journal of neuroscience methods (2013). doi:10.1016/j.jneumeth.2013.11.016
info:cnr-pdr/source/autori:Salvatore C, Cerasa A, Castiglioni I, Gallivanone F, Augimeri A, Lopez M, Arabia G, Morelli M, Gilardi MC, Quattrone A/titolo:Machine Learning on Brain MRI Data for Differential Diagnosis of Parkinson's Disease and Progressive Supranuclear Palsy/doi:10.1016%2Fj.jneumeth.2013.11.016/rivista:Journal of neuroscience methods/anno:2013/pagina_da:/pagina_a:/intervallo_pagine:/volume

Supervised machine learning has been proposed as a revolutionary approach for identifying sensitive medical image biomarkers (or combination of them) allowing for automatic diagnosis of individual subjects. The aim of this work was to assess the feas

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb9d0b5e36b75e21beee1d85523592b7
http://www.cnr.it/prodotto/i/317125