A Multi-Classifier system for the characterization of normal, infectious, and cancerous prostate tissues employing transrectal ultrasound images

dc.contributor.author	Γκλώτσος, Δημήτριος	el
dc.contributor.author	Καλατζής, Ιωάννης	el
dc.contributor.author	Θεοχαράκης, Παντελής	el
dc.contributor.author	Γεωργιάδης, Παντελής	el
dc.contributor.author	Δασκαλάκης, Αντώνης	el
dc.date.accessioned	2015-05-04T07:45:57Z
dc.date.available	2015-05-04T07:45:57Z
dc.date.issued	2015-05-04
dc.identifier.uri	http://hdl.handle.net/11400/9611
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.source	http://www.cmpbjournal.com/article/S0169-2607(09)00209-0/abstract	en
dc.source	http://www.sciencedirect.com/science/article/pii/S0169260709002090	en
dc.subject	Transrectal ultrasound
dc.subject	Textural features
dc.subject	Διορθικό υπερηχογράφημα
dc.subject	Χαρακτηριστικά υφής
dc.title	A Multi-Classifier system for the characterization of normal, infectious, and cancerous prostate tissues employing transrectal ultrasound images	en
heal.type	journalArticle
heal.classification	Medicine
heal.classification	Biomedical engineering
heal.classification	Ιατρική
heal.classification	Βιοϊατρική τεχνολογία
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh00006614
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85014237
heal.classificationURI	N/A-Ιατρική
heal.classificationURI	N/A-Βιοϊατρική τεχνολογία
heal.contributorName	Νίνος, Κωνσταντίνος	el
heal.contributorName	Ζουμπούλης, Παύλος Σ.	el
heal.contributorName	Φιλιππίδου, Άννα	el
heal.contributorName	Κάβουρας, Διονύσης Α.	el
heal.identifier.secondary	doi:10.1016/j.cmpb.2009.07.003
heal.language	en
heal.access	campus
heal.recordProvider	Τ.Ε.Ι. Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Βιοϊατρικής Τεχνολογίας Τ.Ε.	el
heal.publicationDate	2010
heal.bibliographicCitation	Glotsos, D., Kalatzis, I., Theocharakis, P., Georgiadis, P., Daskalakis, A., et al. (January 2010). A Multi-Classifier system for the characterization of normal, infectious, and cancerous prostate tissues employing transrectal ultrasound images. Computer Methods and Programs in Biomedicine. 97(1). pp. 53-61. Elsevier Ireland Ltd: 2010. Available from: http://www.sciencedirect.com/science/article/pii/S0169260709002090 [Accessed 03/08/2009]	en
heal.abstract	A computer-aided diagnostic system has been developed for the discrimination of normal, infectious and cancer prostate tissues based on texture analysis of transrectal ultrasound images. The proposed system has been designed using a panel of three classifiers, which have been evaluated individually or as a mutli-classifier scheme, using the external cross-validation procedure. Clinical data consisted of 165 transrectal ultrasound images, characterized by an experienced physician as normal (55/165), cancerous (55/165), and infectious (55/165) prostate cases. From each image, the physician delineated the most representative regions of interest, from which, 23 textural features were extracted. Classification was seen as a two level hierarchical decision tree. Normal from infectious and infectious from cancer cases were discriminated at the 1st and 2nd level of the decision tree, respectively. The best classification results for the 1st level were 89.5%, whereas for the 2nd level 90.1%. The utilization of multi-classifier system improved the discrimination of prostate pathologies as compared to individual classifiers; for infectious prostate cases improvement was from 87.3% to 88.7% and for cancer prostate cases improvement was from 84.1% to 91.4%. In terms of overall system performance (the decision tree's node propagating error taken into account), best classification accuracies were 89.5%, 79.6% and 82.7% for the recognition of normal, infectious and cancer cases, respectively. The proposed system might be used as a second opinion tool for assisting diagnosis of different prostate pathologies.	en
heal.publisher	Elsevier Ireland Ltd	en
heal.journalName	Computer Methods and Programs in Biomedicine	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	true