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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
Publication Date:
2013
Short description:
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.
Iris type:
1.5 Abstract in rivista
List of contributors:
Palumbo, B; Nuvoli, S; Pompili, F; Fravolini, Ml; Sabalich, I; Tambasco, N; Spanu, Angela; Madeddu, Giuseppe
Authors of the University:
NUVOLI Susanna Maria Francesca
SPANU Angela
Handle:
https://iris.uniss.it/handle/11388/70196
Published in:
CLINICAL AND TRANSLATIONAL IMAGING
Journal
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