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dc.contributor.authorMøllersen, Kajsa
dc.contributor.authorKirchesch, Herbert M.
dc.contributor.authorZortea, Maciel
dc.contributor.authorSchopf, Thomas Roger Griesbeck
dc.contributor.authorHindberg, Kristian
dc.contributor.authorGodtliebsen, Fred
dc.date.accessioned2016-03-11T09:06:48Z
dc.date.available2016-03-11T09:06:48Z
dc.date.issued2015
dc.description.abstractCommercially available clinical decision support systems (CDSSs) for skin cancer have been designed for the detection of melanoma only. Correct use of the systems requires expert knowledge, hampering their utility for nonexperts. Furthermore, there are no systems to detect other common skin cancer types, that is, nonmelanoma skin cancer (NMSC). As early diagnosis of skin cancer is essential, there is a need for a CDSS that is applicable to all types of skin lesions and is suitable for nonexperts. Nevus Doctor (ND) is a CDSS being developed by the authors. We here investigate ND’s ability to detect both melanoma and NMSC and the opportunities for improvement. An independent test set of dermoscopic images of 870 skin lesions, including 44 melanomas and 101 NMSCs, were analysed by ND. Its sensitivity to melanoma and NMSC was compared to that of Mole Expert (ME), a commercially available CDSS, using the same set of lesions. ND and ME had similar sensitivity to melanoma. For ND at 95% melanoma sensitivity, the NMSC sensitivity was 100%, and the specificity was 12%. The melanomas misclassified by ND at 95% sensitivity were correctly classified by ME, and vice versa. ND is able to detect NMSC without sacrificing melanoma sensitivity.en_US
dc.identifier.citationBioMed Research International 2015, Article ID 579282en_US
dc.identifier.cristinIDFRIDAID 1298209
dc.identifier.doi10.1155/2015/579282
dc.identifier.issn2314-6141
dc.identifier.urihttps://hdl.handle.net/10037/8870
dc.identifier.urnURN:NBN:no-uit_munin_8457
dc.language.isoengen_US
dc.publisherHindawi Publishing Corporationen_US
dc.relation.projectIDNorges forskningsråd: 174934
dc.rights.accessRightsopenAccess
dc.subjectVDP::Teknologi: 500::Medisinsk teknologi: 620en_US
dc.subjectVDP::Technology: 500::Medical technology: 620en_US
dc.titleComputer-aided decision support for melanoma detection applied on melanocytic and non-melanocytic skin lesions: a comparison of two systems based on automatic analysis of dermoscopic imagesen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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