Prediction of Melanoma from Dermoscopic Images Using Deep Learning-Based Artificial Intelligence Techniques

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dc.authoridARSLAN, Ahmet Kadir/0000-0001-8626-9542
dc.authoridÇOLAK, CEMİL/0000-0001-5406-098X
dc.authoridGÜLDOĞAN, Emek/0000-0002-5436-8164
dc.authorwosidARSLAN, Ahmet Kadir/AAA-2409-2020
dc.authorwosidÇOLAK, CEMİL/ABI-3261-2020
dc.authorwosidGÜLDOĞAN, Emek/ABH-5460-2020
dc.contributor.authorKaplan, Ali
dc.contributor.authorGuldogan, Emek
dc.contributor.authorColak, Cemil
dc.contributor.authorArslan, Ahmet K.
dc.date.accessioned2024-08-04T21:00:12Z
dc.date.available2024-08-04T21:00:12Z
dc.date.issued2019
dc.departmentİnönü Üniversitesien_US
dc.descriptionInternational Conference on Artificial Intelligence and Data Processing (IDAP) -- SEP 21-22, 2019 -- Inonu Univ, Malatya, TURKEYen_US
dc.description.abstractRecently, hospitals and health care institutions have increasingly been addressing clinical decision support systems (CDSS), which can offer specific patient assessments or recommendations to physicians and health care professionals. It is very useful to develop CDSS which can help physicians to make meaningful and correct decisions by using existing data or image sets. Also, CDSS increases the diagnostic accuracy of diseases, provides significant facilities in precision medicine applications, increases operating efficiency of hospitals and reduces costs. In this context, the proposed project intends to create a model usingpre-trained networks (i.e. VGG-16,) based on deep learning (DL) that can successfully predict the melanoma using dermoscopic images. The current study provides clinical support to physicians in the medical decision-making process for the diagnosis of melanoma.en_US
dc.description.sponsorshipIEEE Turkey Sect,Anatolian Sci,Inonu Univ, Comp Sci Dept,Inonu Univ, Muhendisli Fakultesien_US
dc.identifier.doi10.1109/idap.2019.8875970
dc.identifier.urihttps://doi.org/10.1109/idap.2019.8875970
dc.identifier.urihttps://hdl.handle.net/11616/103884
dc.identifier.wosWOS:000591781100097en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof2019 International Conference on Artificial Intelligence and Data Processing (Idap 2019)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectClassificationen_US
dc.subjectDeep-learningen_US
dc.subjectMelanomaen_US
dc.subjectKerasen_US
dc.subjectDermoscopic imagingen_US
dc.titlePrediction of Melanoma from Dermoscopic Images Using Deep Learning-Based Artificial Intelligence Techniquesen_US
dc.typeConference Objecten_US

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