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Supervised Classification of thermal high-resolution IR Images for the diagnosis of Ryanud’s Phenomenon (G. Aretusi et al.)

Lavoro pubblicato su Classification and Data Analysis 2009, 409-412, Cleup, Padova, ISBN 978-88-6129-406-62009, 2009.

Abstract

This paper proposes a supervised classification approach for the differential diagnosis of Raynaud’s Phenomenon on the basis of functional infrared imaging data. The classification of data from healthy subjects and from patients suffering for primary and secondary Raynaud’s Phenomenon is performed by using Stepwise Linear Discriminant Analysis (LDA) on a large number of features extracted from the images. The results of the proposed methodology are shown and discussed for a data set of 40 subjects.

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L’articolo è stato pubblicato su Classification and Data Analysis 2009, 409-412, Cleup, Padova, ISBN 978-88-6129-406-62009, 2009 ed è disponibile liberamente qui di seguito accedendo al portale Openstat.it