Computer-Aided Software for Early Diagnosis of Eerythemato-squamous Diseases

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dc.contributor.authorKarlik, Bekir
dc.contributor.authorHarman, Gunes
dc.date.accessioned2020-03-26T18:41:22Z
dc.date.available2020-03-26T18:41:22Z
dc.date.issued2013
dc.departmentSelçuk Üniversitesien_US
dc.descriptionIEEE 33rd International Scientific Conference on Electronics and Nanotechnology (ELNANO) -- APR 16-19, 2013 -- Kyiv, UKRAINEen_US
dc.description.abstractEarly diagnosis and appropriate treatment remain a necessary challenge. Dermatologic emergencies have insufficient attention by the general population and by physicians from other specialties. The differential diagnosis of erythemato-squamous diseases is a real problem in dermatology. They all share the clinical features of erythema and scaling with very little differences. These diseases are psoriasis, seboreic dermatitis, lichen planus, pityriasis rosea, cronic dermatitis, and pityriasis rubra pilaris. Usually a biopsy is necessary for the diagnosis but unfortunately these diseases share many histopathological features as well. In this study, computer-aided software was developed to diagnosis dermatological diseases by using artificial neural networks. The supervised back-propagation algorithm is used to train the networks. Classification of the average value of sensitivity (or recognition percentage) was found as 98% for six erythemato-squamous diseases.en_US
dc.description.sponsorshipInst Elect & Elect Engineers Inc, Natl Tech Univ Ukraine, Kyiv Polytechn Inst, NAS Ukraine, V YE Lashkaryov Inst Semicond Phys, Natl Aviat Univ, Publ Org Lady Sci, Teleopt PRA Ltd, IEEE Reg 8, IEEE Ukraine Sect, IEEE Cent Ukraine Joint Chapter ED MTT COM CPMT SSC, IEEE Cent Joint Chapter SP AES, IEEE E Joint Chapter AP MTT ED AES GRS NPS, IEEE KPI Student Branchen_US
dc.identifier.endpage279en_US
dc.identifier.isbn978-1-4673-4672-6; 978-1-4673-4669-6
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage276en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/29332
dc.identifier.wosWOS:000325186800064en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof2013 IEEE XXXIII INTERNATIONAL SCIENTIFIC CONFERENCE ELECTRONICS AND NANOTECHNOLOGY (ELNANO)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectEarly diagnosisen_US
dc.subjectDermatology diseasesen_US
dc.subjectSoftwareen_US
dc.subjectArtificial neural networksen_US
dc.titleComputer-Aided Software for Early Diagnosis of Eerythemato-squamous Diseasesen_US
dc.typeConference Objecten_US

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