Probabilistic neural network classifier versus multilayer perceptron classifier in discriminating brain spect images of patients with diabetes from normal controls

dc.contributor.author	Καλατζής, Ιωάννης	el
dc.contributor.author	Πήλιουρας, Νικόλαος	el
dc.contributor.author	Παππάς, Δ.	el
dc.contributor.author	Βεντούρας, Ερρίκος Μ.	el
dc.contributor.author	Κάβουρας, Διονύσης Α.	el
dc.date.accessioned	2015-01-28T12:51:49Z
dc.date.available	2015-01-28T12:51:49Z
dc.date.issued	2015-01-28
dc.identifier.uri	http://hdl.handle.net/11400/4931
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.subject	Neural computers
dc.subject	Single-photon emission computed tomography
dc.subject	Νευρωνικό δίκτυο
dc.subject	Εκπομπή φωτονίου σε υπολογιστική τομογραφία
dc.title	Probabilistic neural network classifier versus multilayer perceptron classifier in discriminating brain spect images of patients with diabetes from normal controls	en
heal.type	conferenceItem
heal.generalDescription	Proceedings of the International Conference of Computational Methods in Sciences and Enginnering 2003	en
heal.classification	Medicine
heal.classification	Medical technology
heal.classification	Ιατρική
heal.classification	Ιατρικά όργανα και εξοπλισμός
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh00006614
heal.classificationURI	http://skos.um.es/unescothes/C02465
heal.classificationURI	N/A-Ιατρική
heal.classificationURI	N/A-Ιατρικά όργανα και εξοπλισμός
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh87008041
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh2006001159
heal.contributorName	Σίμος, Θεόδωρος (επιμ.)	el
heal.identifier.secondary	ISBN: 981-238-595-9
heal.language	en
heal.access	campus
heal.recordProvider	Τ.Ε.Ι. Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Βιοϊατρικής Τεχνολογίας Τ.Ε.	el
heal.publicationDate	2003
heal.bibliographicCitation	Kalatzis, I., Piliouras, N., Pappas, D., Ventouras, E., Cavouas, D., et al. (2003). Probabilistic neural network classifier versus multilayer perceptron classifier in discriminating brain spect images of patients with diabetes from normal controls. In the International Conference of Computational Methods in Sciences and Enginnering. pp. 272-276. Kastoria, Greece, 2003.	en
heal.abstract	The aim of this study was to compare the performance of the probabilistic neural network (PNN) classifier with the multilayer perceptron (MLP) classifier, in an attempt to discriminate between patients with diabetes mellitus type II (DMII) and normal subjects using medical images from brain single photon emission computed tomography (SPECT). Features from the gray-level histogram and the spatial-dependence matrix were generated from image-samples collected from brain SPECT images of diabetic patients and healthy volunteers, and they were used as input to the PNN and the MLP classifiers. Highest accuracies were 99.5% for the MLP and 99% for the PNN and they were achieved in the left inferior parietal lobule, employing the mean value and correlation features. Our findings show that the MLP classifier outperformed slightly the PNN classifier in almost all cerebral regions, but the lower computational time of the PNN makes him a very useful classification tool. The high precision of both classifiers indicate significant differences in radio-pharmaceutical (99mTc-ECD) uptake of diabetic patients compared to the normal controls, which may be due to cerebral blood flow disruption in patients with DMII.	en
heal.publisher	[χ.ό.]	el
heal.fullTextAvailability	true
heal.conferenceName	International Conference of Computational Methods in Sciences and Enginnering	en
heal.conferenceItemType	full paper