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. |
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| 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 |
| Database: | MEDLINE Ultimate |
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