Your browser doesn't support javascript.
loading
Machine Learning Based Prediction of Squamous Cell Carcinoma in Ex Vivo Confocal Laser Scanning Microscopy.
Ruini, Cristel; Schlingmann, Sophia; Jonke, Zan; Avci, Pinar; Padrón-Laso, Víctor; Neumeier, Florian; Koveshazi, Istvan; Ikeliani, Ikenna U; Patzer, Kathrin; Kunrad, Elena; Kendziora, Benjamin; Sattler, Elke; French, Lars E; Hartmann, Daniela.
Afiliación
  • Ruini C; Department of Dermatology and Allergy, University Hospital, LMU Munich, 80337 Munich, Germany.
  • Schlingmann S; PhD School in Clinical and Experimental Medicine, University of Modena and Reggio Emilia, 41125 Modena, Italy.
  • Jonke Z; Department of Dermatology and Allergy, University Hospital, LMU Munich, 80337 Munich, Germany.
  • Avci P; Munich Innovation Labs GmbH, 80336 Munich, Germany.
  • Padrón-Laso V; Department of Dermatology and Allergy, University Hospital, LMU Munich, 80337 Munich, Germany.
  • Neumeier F; Munich Innovation Labs GmbH, 80336 Munich, Germany.
  • Koveshazi I; M3i Industry-in-Clinic-Platform GmbH, 80336 Munich, Germany.
  • Ikeliani IU; M3i Industry-in-Clinic-Platform GmbH, 80336 Munich, Germany.
  • Patzer K; M3i Industry-in-Clinic-Platform GmbH, 80336 Munich, Germany.
  • Kunrad E; Department of Dermatology and Allergy, University Hospital, LMU Munich, 80337 Munich, Germany.
  • Kendziora B; Department of Dermatology and Allergy, University Hospital, LMU Munich, 80337 Munich, Germany.
  • Sattler E; Department of Dermatology and Allergy, University Hospital, LMU Munich, 80337 Munich, Germany.
  • French LE; Department of Dermatology and Allergy, University Hospital, LMU Munich, 80337 Munich, Germany.
  • Hartmann D; Department of Dermatology and Allergy, University Hospital, LMU Munich, 80337 Munich, Germany.
Cancers (Basel) ; 13(21)2021 Nov 03.
Article en En | MEDLINE | ID: mdl-34771684
Palabras clave
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Cancers (Basel) Año: 2021 Tipo del documento: Article País de afiliación: Alemania
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Cancers (Basel) Año: 2021 Tipo del documento: Article País de afiliación: Alemania