Evaluation of the performance of two methods of semi-quantitative analysis of 123I-FP-CIT brain SPECT data by means of a support vector machine classifier (SVM) to diagnose Parkinson’s disease.
Abstract
Data di Pubblicazione:
2013
Citazione:
Evaluation of the performance of two methods of semi-quantitative analysis of 123I-FP-CIT brain SPECT data by means of a support vector machine classifier (SVM) to diagnose Parkinson’s disease / Palumbo, B; Nuvoli, S; Pompili, F; Fravolini, Ml; Sabalich, I; Tambasco, N; Spanu, Angela; Madeddu, Giuseppe. - In: CLINICAL AND TRANSLATIONAL IMAGING. - ISSN 2281-5872. - 1 (Supp.1):S92.:suppl. 1(2013), pp. S92-S92.
Tipologia CRIS:
1.5 Abstract in rivista
Elenco autori:
Palumbo, B; Nuvoli, S; Pompili, F; Fravolini, Ml; Sabalich, I; Tambasco, N; Spanu, Angela; Madeddu, Giuseppe
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