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CLASSIFICATION OF VOCAL FOLD NODULES AND CYSTS BASED ON VASCULAR DEFECTS OF VOCAL FOLDS

dc.contributor.authorTurkmen, H. Irem
dc.contributor.authorKarsligil, M. Elif
dc.contributor.authorKocak, Ismail
dc.contributor.institutionauthorKARSLIGİL, Mine Elif
dc.date.accessioned2026-06-27T13:21:25Z
dc.date.issued2013
dc.description.abstractPhysical examination of larynx by using videolaryngostroboscopy provides valuable information for diagnosis of vocal fold pathologies. However difficulty of differentiate nodules and cysts using clinical resources alone motivates physicians to research new strategies. In this paper, we propose a novel approach that performs nodule-cyst classification exploiting visible blood vessels on the superior surface of vocal folds. We first detected the region of vocal folds on videolaryngostroboscopy images and then extracted centerlines of vessel network on vocal folds. We used orientation pattern of vessels for classification. The performance of the proposed system was evaluated using laryngeal images of 21 patients. True positive rates of 76% and 74% were obtained for nodule and cyst classes respectively. These results indicate that visible vessels of vocal folds may play a critical role in more effective diagnosis of vocal fold pathologies like nodule and cyst which may be difficult to differentiate.en
dc.description.sponsorshipYildiz Technical University Scientific Research Projects Coordination Department [2011-04-01-DOP02]
dc.description.urihttps://doi.org/10.1109/mlsp.2013.6661959
dc.identifier.doi10.1109/mlsp.2013.6661959
dc.identifier.isbn978-1-4799-1180-6
dc.identifier.issn2161-0363
dc.identifier.urihttps://hdl.handle.net/20.500.14981/52136
dc.identifier.wos000345844100065
dc.language.isoeng
dc.publisherIEEE
dc.relation.conference23rd IEEE International Workshop on Machine Learning for Signal Processing (MLSP)
dc.relation.ispartof2013 IEEE INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING (MLSP)
dc.subjectClassification of vocal fold pathologies
dc.subjectvessel centerline extraction
dc.subjectvideolaryngostroboscopy images
dc.subjectHistogram of Oriented Gradients
dc.subjectVESSEL SEGMENTATION
dc.subjectALGORITHM
dc.subjectComputer Science
dc.subjectEngineering
dc.titleCLASSIFICATION OF VOCAL FOLD NODULES AND CYSTS BASED ON VASCULAR DEFECTS OF VOCAL FOLDS
dc.typeProceedings Paper
dspace.entity.typePublication
local.import.sourceWOS

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