Prediction of melanoma from dermoscopic images using deep learning-based artificial intelligence techniques

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dc.authorscopusid57211712484
dc.authorscopusid57193501488
dc.authorscopusid11738942300
dc.authorscopusid57188684428
dc.contributor.authorKaplan A.
dc.contributor.authorGuldogan E.
dc.contributor.authorColak C.
dc.contributor.authorArslan A.K.
dc.date.accessioned2024-08-04T20:03:57Z
dc.date.available2024-08-04T20:03:57Z
dc.date.issued2019
dc.departmentİnönü Üniversitesien_US
dc.description2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019 -- 21 September 2019 through 22 September 2019 -- 153040en_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 using pre-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. © 2019 IEEE.en_US
dc.identifier.doi10.1109/IDAP.2019.8875970
dc.identifier.isbn9781728129327
dc.identifier.scopus2-s2.0-85074886528en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/IDAP.2019.8875970
dc.identifier.urihttps://hdl.handle.net/11616/92240
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019en_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.subjectDermoscopic imagingen_US
dc.subjectKerasen_US
dc.subjectMelanomaen_US
dc.titlePrediction of melanoma from dermoscopic images using deep learning-based artificial intelligence techniquesen_US
dc.typeConference Objecten_US

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