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Artificial neural networks and pathologists recognize basal cell carcinomas based on different histological patterns.
Kimeswenger, Susanne; Tschandl, Philipp; Noack, Petar; Hofmarcher, Markus; Rumetshofer, Elisabeth; Kindermann, Harald; Silye, Rene; Hochreiter, Sepp; Kaltenbrunner, Martin; Guenova, Emmanuella; Klambauer, Guenter; Hoetzenecker, Wolfram.
Afiliación
  • Kimeswenger S; Johannes Kepler University Linz, Kepler University Hospital Linz, Department of Dermatology, Linz, Austria.
  • Tschandl P; Johannes Kepler University Linz, Institute of Applied Physics, Department of Soft Matter Physics, Linz, Austria.
  • Noack P; Johannes Kepler University Linz, Linz Institute of Technology, Soft Materials Lab, Linz, Austria.
  • Hofmarcher M; Medical University of Vienna, Department of Dermatology, Vienna, Austria.
  • Rumetshofer E; Kepler University Hospital Linz, Department of Pathology and Microbiology, Linz, Austria.
  • Kindermann H; Johannes Kepler University Linz, Institute for Machine Learning, Linz, Austria.
  • Silye R; Johannes Kepler University Linz, Institute for Machine Learning, Linz, Austria.
  • Hochreiter S; University of Applied Sciences, Upper Austria, Marketing and Electronic Business, Steyr, Austria.
  • Kaltenbrunner M; Kepler University Hospital Linz, Department of Pathology and Microbiology, Linz, Austria.
  • Guenova E; Johannes Kepler University Linz, Institute for Machine Learning, Linz, Austria.
  • Klambauer G; Johannes Kepler University Linz, Institute of Applied Physics, Department of Soft Matter Physics, Linz, Austria.
  • Hoetzenecker W; Johannes Kepler University Linz, Linz Institute of Technology, Soft Materials Lab, Linz, Austria.
Mod Pathol ; 34(5): 895-903, 2021 05.
Article en En | MEDLINE | ID: mdl-33184470
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Piel / Neoplasias Cutáneas / Carcinoma Basocelular / Redes Neurales de la Computación / Aprendizaje Automático / Patólogos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Mod Pathol Asunto de la revista: PATOLOGIA Año: 2021 Tipo del documento: Article País de afiliación: Austria
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Piel / Neoplasias Cutáneas / Carcinoma Basocelular / Redes Neurales de la Computación / Aprendizaje Automático / Patólogos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Mod Pathol Asunto de la revista: PATOLOGIA Año: 2021 Tipo del documento: Article País de afiliación: Austria