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Computer algorithms show potential for improving dermatologists' accuracy to diagnose cutaneous melanoma: Results of the International Skin Imaging Collaboration 2017.
Marchetti, Michael A; Liopyris, Konstantinos; Dusza, Stephen W; Codella, Noel C F; Gutman, David A; Helba, Brian; Kalloo, Aadi; Halpern, Allan C.
Afiliación
  • Marchetti MA; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York. Electronic address: marchetm@mskcc.org.
  • Liopyris K; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Dusza SW; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Codella NCF; IBM Research Division, Thomas J. Watson Research Center, Yorktown Heights, New York.
  • Gutman DA; Department of Neurology, Emory University School of Medicine, Atlanta, Georgia; Department of Psychiatry, Emory University School of Medicine, Atlanta, Georgia; Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, Georgia.
  • Helba B; Kitware Inc, Clifton Park, New York.
  • Kalloo A; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Halpern AC; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
J Am Acad Dermatol ; 82(3): 622-627, 2020 Mar.
Article en En | MEDLINE | ID: mdl-31306724
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias Cutáneas / Interpretación de Imagen Asistida por Computador / Dermoscopía / Aprendizaje Profundo / Melanoma Tipo de estudio: Diagnostic_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: America do norte / America do sul / Asia / Colombia / Europa Idioma: En Revista: J Am Acad Dermatol Año: 2020 Tipo del documento: Article
Texto completo
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias Cutáneas / Interpretación de Imagen Asistida por Computador / Dermoscopía / Aprendizaje Profundo / Melanoma Tipo de estudio: Diagnostic_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: America do norte / America do sul / Asia / Colombia / Europa Idioma: En Revista: J Am Acad Dermatol Año: 2020 Tipo del documento: Article