DERM12345: A Large, Multisource Dermatoscopic Skin Lesion Dataset with 40 Subclasses

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dc.authorscopusidGülsüm Gençoğlan / 56074135100
dc.authorwosidGülsüm Gençoğlan / CQE-8195-2022
dc.contributor.authorYılmaz, Abdurrahim
dc.contributor.authorYaşar, Şirin Pekcan
dc.contributor.authorGençoglan, Gülsüm
dc.contributor.authorTemelkuran, Burak
dc.date.accessioned2025-05-09T12:58:28Z
dc.date.available2025-05-09T12:58:28Z
dc.date.issued2024
dc.departmentİstinye Üniversitesi, Tıp Fakültesi, Cerrahi Tıp Bilimleri Bölümü
dc.description.abstractSkin lesion datasets provide essential information for understanding various skin conditions and developing effective diagnostic tools. They aid the artificial intelligence-based early detection of skin cancer, facilitate treatment planning, and contribute to medical education and research. Published large datasets have partially coverage the subclassifications of the skin lesions. This limitation highlights the need for more expansive and varied datasets to reduce false predictions and help improve the failure analysis for skin lesions. This study presents a diverse dataset comprising 12,345 dermatoscopic images with 40 subclasses of skin lesions, collected in Turkiye, which comprises different skin types in the transition zone between Europe and Asia. Each subgroup contains high-resolution images and expert annotations, providing a strong and reliable basis for future research. The detailed analysis of each subgroup provided in this study facilitates targeted research endeavors and enhances the depth of understanding regarding the skin lesions. This dataset distinguishes itself through a diverse structure with its 5 super classes, 15 main classes, 40 subclasses and 12,345 high-resolution dermatoscopic images. © The Author(s) 2024.
dc.identifier.citationYilmaz, A., Yasar, S. P., Gencoglan, G., & Temelkuran, B. (2024). DERM12345: A Large, Multisource Dermatoscopic Skin Lesion Dataset with 40 Subclasses. Scientific Data, 11(1), 1302.
dc.identifier.doi10.1038/s41597-024-04104-3
dc.identifier.issn20524463
dc.identifier.issue1
dc.identifier.pmid39609462
dc.identifier.scopusqualityQ1
dc.identifier.urihttp://dx.doi.org/10.1038/s41597-024-04104-3
dc.identifier.urihttps://hdl.handle.net/20.500.12713/7251
dc.identifier.volume11
dc.identifier.wosWOS:001369691000003
dc.identifier.wosqualityQ1
dc.indekslendigikaynakScopus
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakPubMed
dc.institutionauthorGençoglan, Gülsüm
dc.institutionauthoridGülsüm Gençoğlan / 0000-0002-0650-0722
dc.language.isoen
dc.publisherNature Research
dc.relation.ispartofScientific Data
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectDermoscopy
dc.subjectHumans
dc.subjectSkin
dc.subjectSkin Diseases
dc.subjectSkin Neoplasms
dc.titleDERM12345: A Large, Multisource Dermatoscopic Skin Lesion Dataset with 40 Subclasses
dc.typeArticle

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