An android-based pattern recognition application for the characterization of epidermal melanoma

dc.contributor.author	Μήκος, Ευριπίδης	el
dc.contributor.author	Σιούλας, Ιωάννης	el
dc.contributor.author	Σιδηρόπουλος, Κωνσταντίνος	el
dc.contributor.author	Καλατζής, Ιωάννης	el
dc.contributor.author	Κάβουρας, Διονύσης Α.	el
dc.date.accessioned	2015-02-03T18:49:27Z
dc.date.available	2015-02-03T18:49:27Z
dc.date.issued	2015-02-03
dc.identifier.uri	http://hdl.handle.net/11400/5593
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://e-jst.teiath.gr/	en
dc.subject	Melanoma
dc.subject	Μελάνωμα
dc.subject	Pattern Recognition
dc.subject	Πρότυπα αναγνώρισης
dc.subject	Android Application
dc.subject	Εφαρμογή Android
dc.title	An android-based pattern recognition application for the characterization of epidermal melanoma	en
heal.type	journalArticle
heal.generalDescription	Special issue: Workshop on Bio-Medical Instrumentation and related Engineering And Physical Sciences, Technological Educational Institute of Athens, 6 July 2012	en
heal.classification	Technology
heal.classification	Engineering
heal.classification	Τεχνολογία
heal.classification	Μηχανική
heal.classification	Medicine
heal.classification	Ιατρική
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85133147
heal.classificationURI	http://zbw.eu/stw/descriptor/19795-3
heal.classificationURI	N/A-Τεχνολογία
heal.classificationURI	N/A-Μηχανική
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh00006614
heal.classificationURI	N/A-Ιατρική
heal.language	en
heal.access	free
heal.publicationDate	2012
heal.bibliographicCitation	Mikos, E., Sioulas, I., Sidiropoulos, K., Kalatzis, I. and Cavouras, D.A. (2012). An android-based pattern recognition application for the characterization of epidermal melanoma. "e-Journal of Science & Technology". [Online] 7(3): 67-72. Available from: http://e-jst.teiath.gr/	en
heal.abstract	Malignant melanoma is currently one of the leading cancers among white-skinned populations around the world, mainly due to the changes in life styles and the significant increase in ultraviolet radiation. Although the mortality rate due to melanomas was about 70%, forty years ago, nowadays, a survival rate of 70% is claimed, which is attributed to early diagnosis. Hence, early stage detection of melanoma is of major significance for increasing chances of long term survival of affected patients. The most effective method for early detection is skin self-examination, a procedure often underestimated by individuals, resulting in poor prognosis. Therefore, the aim of the present study is to address the need for early and accurate characterization of skin lesions through the design and implementation of an Android application that enables users identify areas on their skin that may need attention from an expert physician. The proposed application uses the phone’s camera feature to take a picture of a skin lesion/mole, communicates with a remote specialized pattern recognition system, via a set of XML Web Services, and within seconds receives a risk analysis of their uploaded image being a melanoma. The proposed system was trained using an image database from New Zealand Dermatological Society, and was reviewed by an expert dermatologist.	en
heal.publisher	Νερατζής, Ηλίας	el
heal.publisher	Σιανούδης, Ιωάννης	el
heal.publisher	Βαλαής, Ιωάννης Γ.	el
heal.publisher	Φούντος, Γεώργιος Π.	el
heal.journalName	e-Journal of Science & Technology	en
heal.journalName	e-Περιοδικό Επιστήμης & Τεχνολογίας	el
heal.journalType	peer-reviewed
heal.fullTextAvailability	true