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.

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.

Nuvoli S;SPANU, Angela;MADEDDU, Giuseppe
2013-01-01

2013
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.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11388/70196
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