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dc.contributor.authorCombalia, Marc
dc.contributor.authorCodella, Noel C. F.
dc.contributor.authorRotemberg, Veronica
dc.contributor.authorVilaplana Besler, Verónica
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.identifier.citationCombalia, M. [et al.]. "BCN20000: dermoscopic lesions in the wild". 2019.
dc.description.abstractThis article summarizes the BCN20000 dataset, composed of 19424 dermoscopic images of skin lesions captured from 2010 to 2016 in the facilities of the Hospital Clínic in Barcelona. With this dataset, we aim to study the problem of unconstrained classification of dermoscopic images of skin cancer, including lesions found in hard-to-diagnose locations (nails and mucosa), large lesions which do not fit in the aperture of the dermoscopy device, and hypo-pigmented lesions. The BCN20000 will be provided to the participants of the ISIC Challenge 2019 [8], where they will be asked to train algorithms to classify dermoscopic images of skin cancer automatically.
dc.format.extent3 p.
dc.subjectÀrees temàtiques de la UPC::Ciències de la salut::Medicina::Dermatologia
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo
dc.subject.lcshImaging systems in medicine
dc.titleBCN20000: dermoscopic lesions in the wild
dc.typeExternal research report
dc.subject.lemacImatges mèdiques -- Tractament
dc.contributor.groupUniversitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
local.citation.authorCombalia, M.; Codella, N.; Rotemberg, V.; Vilaplana, V.

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