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Over-Detection of Melanoma-Suspect Lesions by a CE-Certified Smartphone App: Performance in Comparison to Dermatologists, 2D and 3D Convolutional Neural Networks in a Prospective Data Set of 1204 Pigmented Skin Lesions Involving Patients' Perception.
Jahn, Anna Sophie; Navarini, Alexander Andreas; Cerminara, Sara Elisa; Kostner, Lisa; Huber, Stephanie Marie; Kunz, Michael; Maul, Julia-Tatjana; Dummer, Reinhard; Sommer, Seraina; Neuner, Anja Dominique; Levesque, Mitchell Paul; Cheng, Phil Fang; Maul, Lara Valeska.
Afiliação
  • Jahn AS; Department of Dermatology, University Hospital of Basel, 4031 Basel, Switzerland.
  • Navarini AA; Department of Dermatology, University Hospital of Basel, 4031 Basel, Switzerland.
  • Cerminara SE; Department of Dermatology, University Hospital of Basel, 4031 Basel, Switzerland.
  • Kostner L; Department of Dermatology, University Hospital of Basel, 4031 Basel, Switzerland.
  • Huber SM; Department of Dermatology, University Hospital of Basel, 4031 Basel, Switzerland.
  • Kunz M; Department of Dermatology, University Hospital of Basel, 4031 Basel, Switzerland.
  • Maul JT; Department of Dermatology, University Hospital of Zurich, 8091 Zurich, Switzerland.
  • Dummer R; Faculty of Medicine, University of Zurich, 8006 Zurich, Switzerland.
  • Sommer S; Department of Dermatology, University Hospital of Zurich, 8091 Zurich, Switzerland.
  • Neuner AD; Department of Dermatology, University Hospital of Basel, 4031 Basel, Switzerland.
  • Levesque MP; Department of Dermatology, University Hospital of Basel, 4031 Basel, Switzerland.
  • Cheng PF; Department of Dermatology, University Hospital of Zurich, 8091 Zurich, Switzerland.
  • Maul LV; Faculty of Medicine, University of Zurich, 8006 Zurich, Switzerland.
Cancers (Basel) ; 14(15)2022 Aug 07.
Article em En | MEDLINE | ID: mdl-35954491
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Guideline / Observational_studies / Risk_factors_studies / Screening_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Guideline / Observational_studies / Risk_factors_studies / Screening_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article