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Binary and multi-class classification of parkinsonian disorders with support vector machines based on quantitative brain MR and graph-based features

Gramegna, Laura Ludovica and Testa, Claudia and Morisi, Rita and Zanigni, Stefano and Gnecco, Giorgio and Lanconelli, Nico and Manners, David Neil and Evangelisti, Stefania and Cortelli, Pietro and Tonon, Caterina and Lodi, Raffaele Binary and multi-class classification of parkinsonian disorders with support vector machines based on quantitative brain MR and graph-based features. In: ISMRM 2016 - Italian Chapter. Risonanza magnetica in medicina: dalla ricerca tecnologica avanzata alla pratica clinica, February 4-5, 2016, Bologna (2016)

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Item Type: Conference or Workshop Item (Speech)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
Research Area: Computer Science and Applications
Depositing User: Caterina Tangheroni
Date Deposited: 26 Feb 2016 14:35
Last Modified: 29 Feb 2016 08:31
URI: http://eprints.imtlucca.it/id/eprint/3129

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