Support Vector Machine classifier (SVM) in investigating the ability of two methods of semiquantitative analysis of 123I-FP-CIT brain SPECT to correctly diagnose Parkinson’s disease.
Abstract
Data di Pubblicazione:
2013
Citazione:
Support Vector Machine classifier (SVM) in investigating the ability of two methods of semiquantitative analysis of 123I-FP-CIT brain SPECT to correctly diagnose Parkinson’s disease / Palumbo, B.; Nuvoli, S.; Pompili, F.; Fravolini, M. L.; Sabalich, I.; Tambasco, N.; Spanu, Angela; Madeddu, Giuseppe. - In: EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING. - ISSN 1619-7070. - 40 (suppl. 2):S452.:(2013), p. S452.
Tipologia CRIS:
1.5 Abstract in rivista
Elenco autori:
Palumbo, B.; Nuvoli, S.; Pompili, F.; Fravolini, M. L.; Sabalich, I.; Tambasco, N.; Spanu, Angela; Madeddu, Giuseppe
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