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Non-invasive scoring of cellular atypia in keratinocyte cancers in 3D LC-OCT images using Deep Learning.
Fischman, Sébastien; Pérez-Anker, Javiera; Tognetti, Linda; Di Naro, Angelo; Suppa, Mariano; Cinotti, Elisa; Viel, Théo; Monnier, Jilliana; Rubegni, Pietro; Del Marmol, Véronique; Malvehy, Josep; Puig, Susana; Dubois, Arnaud; Perrot, Jean-Luc.
Affiliation
  • Fischman S; DAMAE Medical, Paris, France. sebastien@damae-medical.com.
  • Pérez-Anker J; Melanoma Unit, Hospital Clinic Barcelona, University of Barcelona, Barcelona, Spain.
  • Tognetti L; CIBER de enfermedades raras, Instituto de Salud Carlos III, Barcelona, Spain.
  • Di Naro A; Dermatology Unit - Department of Medical, Surgical and Neurological Sciences, University of Siena, Siena, Italy.
  • Suppa M; Dermatology Unit - Department of Medical, Surgical and Neurological Sciences, University of Siena, Siena, Italy.
  • Cinotti E; Department of Dermatology, Université Libre de Bruxelles, Hôpital Erasme, Brussels, Belgium.
  • Viel T; Groupe d'Imagerie Cutanée Non Invasive (GICNI) of the Société Française de Dermatologie (SFD), Paris, France.
  • Monnier J; Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium.
  • Rubegni P; Dermatology Unit - Department of Medical, Surgical and Neurological Sciences, University of Siena, Siena, Italy.
  • Del Marmol V; Groupe d'Imagerie Cutanée Non Invasive (GICNI) of the Société Française de Dermatologie (SFD), Paris, France.
  • Malvehy J; DAMAE Medical, Paris, France.
  • Puig S; Groupe d'Imagerie Cutanée Non Invasive (GICNI) of the Société Française de Dermatologie (SFD), Paris, France.
  • Dubois A; Department of Dermatology and skin cancer, la Timone hospital, Assistance Publique-Hôpitaux de Marseille, Aix-Marseille University, Marseille, France.
  • Perrot JL; Dermatology Unit - Department of Medical, Surgical and Neurological Sciences, University of Siena, Siena, Italy.
Sci Rep ; 12(1): 481, 2022 01 10.
Article de En | MEDLINE | ID: mdl-35013485

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Anatomopathologie / Tumeurs cutanées / Apprentissage profond Type d'étude: Diagnostic_studies / Evaluation_studies / Prognostic_studies Limites: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Langue: En Journal: Sci Rep Année: 2022 Type de document: Article Pays d'affiliation: France Pays de publication: Royaume-Uni

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Anatomopathologie / Tumeurs cutanées / Apprentissage profond Type d'étude: Diagnostic_studies / Evaluation_studies / Prognostic_studies Limites: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Langue: En Journal: Sci Rep Année: 2022 Type de document: Article Pays d'affiliation: France Pays de publication: Royaume-Uni