Effect of patient-contextual skin images in human- and artificial intelligence-based diagnosis of melanoma: Results from the 2020 SIIM-ISIC melanoma classification challenge.

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Title: Effect of patient-contextual skin images in human- and artificial intelligence-based diagnosis of melanoma: Results from the 2020 SIIM-ISIC melanoma classification challenge.
Authors: Kurtansky NR; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York City, New York, USA., Primiero CA; Frazer Institute, Dermatology Research Centre, The University of Queensland, Brisbane, Queensland, Australia., Betz-Stablein B; Frazer Institute, Dermatology Research Centre, The University of Queensland, Brisbane, Queensland, Australia., Combalia M; Melanoma Unit, Dermatology Department, Hospital Cĺınic Barcelona, Universitat de Barcelona, IDIBAPS, Barcelona, Spain., Guitera P; Melanoma Institute Australia and Sydney Melanoma Diagnostic Center, Sydney, New South Wales, Australia., Halpern A; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York City, New York, USA., Kentley J; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York City, New York, USA.; Department of Dermatology, Chelsea and Westminster Hospital, London, UK., Kittler H; Department of Dermatology, Medical University of Vienna, Vienna, Austria., Liopyris K; University of Athens Medical School, Athens, Greece., Malvehy J; Melanoma Unit, Dermatology Department, Hospital Cĺınic Barcelona, Universitat de Barcelona, IDIBAPS, Barcelona, Spain., Rinner C; Center for Medical Data Science, Medical University of Vienna, Vienna, Austria., Tschandl P; Department of Dermatology, Medical University of Vienna, Vienna, Austria., Weber J; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York City, New York, USA., Rotemberg V; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York City, New York, USA., Soyer HP; Frazer Institute, Dermatology Research Centre, The University of Queensland, Brisbane, Queensland, Australia.; Dermatology Department, Princess Alexandra Hospital, Brisbane, Queensland, Australia.
Source: Journal of the European Academy of Dermatology and Venereology : JEADV [J Eur Acad Dermatol Venereol] 2025 Aug; Vol. 39 (8), pp. 1489-1499. Date of Electronic Publication: 2024 Dec 08.
Publication Type: Journal Article
Journal Info: Publisher: Wiley-Blackwell Country of Publication: England NLM ID: 9216037 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1468-3083 (Electronic) Linking ISSN: 09269959 NLM ISO Abbreviation: J Eur Acad Dermatol Venereol Subsets: MEDLINE
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  Data: Effect of patient-contextual skin images in human- and artificial intelligence-based diagnosis of melanoma: Results from the 2020 SIIM-ISIC melanoma classification challenge.
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  Data: <searchLink fieldCode="AU" term="%22Kurtansky+NR%22">Kurtansky NR</searchLink>; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York City, New York, USA.<br /><searchLink fieldCode="AU" term="%22Primiero+CA%22">Primiero CA</searchLink>; Frazer Institute, Dermatology Research Centre, The University of Queensland, Brisbane, Queensland, Australia.<br /><searchLink fieldCode="AU" term="%22Betz-Stablein+B%22">Betz-Stablein B</searchLink>; Frazer Institute, Dermatology Research Centre, The University of Queensland, Brisbane, Queensland, Australia.<br /><searchLink fieldCode="AU" term="%22Combalia+M%22">Combalia M</searchLink>; Melanoma Unit, Dermatology Department, Hospital Cĺınic Barcelona, Universitat de Barcelona, IDIBAPS, Barcelona, Spain.<br /><searchLink fieldCode="AU" term="%22Guitera+P%22">Guitera P</searchLink>; Melanoma Institute Australia and Sydney Melanoma Diagnostic Center, Sydney, New South Wales, Australia.<br /><searchLink fieldCode="AU" term="%22Halpern+A%22">Halpern A</searchLink>; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York City, New York, USA.<br /><searchLink fieldCode="AU" term="%22Kentley+J%22">Kentley J</searchLink>; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York City, New York, USA.; Department of Dermatology, Chelsea and Westminster Hospital, London, UK.<br /><searchLink fieldCode="AU" term="%22Kittler+H%22">Kittler H</searchLink>; Department of Dermatology, Medical University of Vienna, Vienna, Austria.<br /><searchLink fieldCode="AU" term="%22Liopyris+K%22">Liopyris K</searchLink>; University of Athens Medical School, Athens, Greece.<br /><searchLink fieldCode="AU" term="%22Malvehy+J%22">Malvehy J</searchLink>; Melanoma Unit, Dermatology Department, Hospital Cĺınic Barcelona, Universitat de Barcelona, IDIBAPS, Barcelona, Spain.<br /><searchLink fieldCode="AU" term="%22Rinner+C%22">Rinner C</searchLink>; Center for Medical Data Science, Medical University of Vienna, Vienna, Austria.<br /><searchLink fieldCode="AU" term="%22Tschandl+P%22">Tschandl P</searchLink>; Department of Dermatology, Medical University of Vienna, Vienna, Austria.<br /><searchLink fieldCode="AU" term="%22Weber+J%22">Weber J</searchLink>; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York City, New York, USA.<br /><searchLink fieldCode="AU" term="%22Rotemberg+V%22">Rotemberg V</searchLink>; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York City, New York, USA.<br /><searchLink fieldCode="AU" term="%22Soyer+HP%22">Soyer HP</searchLink>; Frazer Institute, Dermatology Research Centre, The University of Queensland, Brisbane, Queensland, Australia.; Dermatology Department, Princess Alexandra Hospital, Brisbane, Queensland, Australia.
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