Εμφάνιση απλής εγγραφής

dc.creatorMaragoudakis, M.en
dc.creatorMaglogiannis, I.en
dc.date.accessioned2015-11-23T10:38:50Z
dc.date.available2015-11-23T10:38:50Z
dc.date.issued2011
dc.identifier10.1177/1460458211405009
dc.identifier.issn1460-4582
dc.identifier.urihttp://hdl.handle.net/11615/30685
dc.description.abstractResearchers have applied increasing efforts towards providing formal computational frameworks to consolidate the plethora of concepts and relations used in the medical domain. In the domain of skin related diseases, the variability of semantic features contained within digital skin images is a major barrier to the medical understanding of the symptoms and development of early skin cancers. The desideratum of making these standards machine-readable has led to their formalization in ontologies. In this work, in an attempt to enhance an existing Core Ontology for skin lesion images, hand-coded from image features, high quality images were analyzed by an autonomous ontology creation engine. We show that by exploiting agglomerative clustering methods with distance criteria upon the existing ontological structure, the original domain model could be enhanced with new instances, attributes and even relations, thus allowing for better classification and retrieval of skin lesion categories from the web.en
dc.source.uri<Go to ISI>://WOS:000292133400005
dc.subjectclusteringen
dc.subjectcomputer visionen
dc.subjectcontent based image retrievalen
dc.subjectdescriptionen
dc.subjectlogicsen
dc.subjectontologyen
dc.subjectskin lesionsen
dc.subjectDERMOSCOPY IMAGESen
dc.subjectMELANOMAen
dc.subjectCLASSIFICATIONen
dc.subjectHealth Care Sciences & Servicesen
dc.subjectMedical Informaticsen
dc.titleA medical ontology for intelligent web-based skin lesions image retrievalen
dc.typejournalArticleen


Αρχεία σε αυτό το τεκμήριο

ΑρχείαΜέγεθοςΤύποςΠροβολή

Δεν υπάρχουν αρχεία που να σχετίζονται με αυτό το τεκμήριο.

Αυτό το τεκμήριο εμφανίζεται στις ακόλουθες συλλογές

Εμφάνιση απλής εγγραφής