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A new deep learning approach integrated with clinical data for the dermoscopic differentiation of early melanomas from atypical nevi.
Tognetti, Linda; Bonechi, Simone; Andreini, Paolo; Bianchini, Monica; Scarselli, Franco; Cevenini, Gabriele; Moscarella, Elvira; Farnetani, Francesca; Longo, Caterina; Lallas, Aimilios; Carrera, Cristina; Puig, Susana; Tiodorovic, Danica; Perrot, Jean Luc; Pellacani, Giovanni; Argenziano, Giuseppe; Cinotti, Elisa; Cataldo, Gennaro; Balistreri, Alberto; Mecocci, Alessandro; Gori, Marco; Rubegni, Pietro; Cartocci, Alessandra.
Afiliação
  • Tognetti L; Dermatology Unit, Department of Medical, Surgical and Neurosciences, University of Siena, Italy. Electronic address: linda.tognetti@dbm.unisi.it.
  • Bonechi S; Department of Information Engineering and Mathematics, University of Siena, Siena, Italy; Department of Economy Engineering Society and Buisiness, Tuscia University, Viterbo, Italy.
  • Andreini P; Department of Information Engineering and Mathematics, University of Siena, Siena, Italy.
  • Bianchini M; Department of Information Engineering and Mathematics, University of Siena, Siena, Italy.
  • Scarselli F; Department of Information Engineering and Mathematics, University of Siena, Siena, Italy.
  • Cevenini G; Bioengineering Unit, Department of Medical Biotechnology, University of Siena, Italy.
  • Moscarella E; Dermatology Unit, University of Campania Luigi Vanvitelli, Naples, Italy.
  • Farnetani F; Department of Dermatology, University of Modena and Reggio Emilia, Modena, Italy.
  • Longo C; Centro Oncologico ad Alta Tecnologia Diagnostica, Azienda Unità Sanitaria Locale, IRCCS di Reggio Emilia, Reggio Emilia, Italy.
  • Lallas A; First Department of Dermatology, Aristotle University, Thessaloniki, Greece.
  • Carrera C; Melanoma Unit, Department of Dermatology, University of Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, University of Barcelona, Barcelona, Spain.
  • Puig S; Melanoma Unit, Department of Dermatology, University of Barcelona, Barcelona, Spain.
  • Tiodorovic D; Dermatology Clinic, Medical Faculty, Nis University, Nis, Serbia.
  • Perrot JL; Dermatology Unit, University Hospital of St-Etienne, Saint Etienne, France.
  • Pellacani G; Department of Dermatology, University of Modena and Reggio Emilia, Modena, Italy.
  • Argenziano G; Dermatology Unit, University of Campania Luigi Vanvitelli, Naples, Italy.
  • Cinotti E; Dermatology Unit, Department of Medical, Surgical and Neurosciences, University of Siena, Italy.
  • Cataldo G; Bioengineering Unit, Department of Medical Biotechnology, University of Siena, Italy.
  • Balistreri A; Bioengineering Unit, Department of Medical Biotechnology, University of Siena, Italy.
  • Mecocci A; Department of Information Engineering and Mathematics, University of Siena, Siena, Italy.
  • Gori M; Department of Information Engineering and Mathematics, University of Siena, Siena, Italy.
  • Rubegni P; Dermatology Unit, Department of Medical, Surgical and Neurosciences, University of Siena, Italy.
  • Cartocci A; Dermatology Unit, Department of Medical, Surgical and Neurosciences, University of Siena, Italy; Bioengineering Unit, Department of Medical Biotechnology, University of Siena, Italy.
J Dermatol Sci ; 101(2): 115-122, 2021 Feb.
Article em En | MEDLINE | ID: mdl-33358096
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 2_ODS3 / 6_ODS3_enfermedades_notrasmisibles / 7_ODS3_muertes_prevenibles_nacidos_ninos Base de dados: MEDLINE Assunto principal: Neoplasias Cutâneas / Interpretação de Imagem Assistida por Computador / Dermoscopia / Aprendizado Profundo / Melanoma / Nevo Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Aged / Aged80 / Child / Child, preschool / Female / Humans / Infant / Male Idioma: En Revista: J Dermatol Sci Ano de publicação: 2021 Tipo de documento: Article
Texto completo
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XML
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 2_ODS3 / 6_ODS3_enfermedades_notrasmisibles / 7_ODS3_muertes_prevenibles_nacidos_ninos Base de dados: MEDLINE Assunto principal: Neoplasias Cutâneas / Interpretação de Imagem Assistida por Computador / Dermoscopia / Aprendizado Profundo / Melanoma / Nevo Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Aged / Aged80 / Child / Child, preschool / Female / Humans / Infant / Male Idioma: En Revista: J Dermatol Sci Ano de publicação: 2021 Tipo de documento: Article