Corrigendum: Deep learning for the detection of anatomical tissue structures and neoplasms of the skin on scanned histopathological tissue sections.

Kriegsmann, Katharina; Lobers, Frithjof; Zgorzelski, Christiane; Kriegsmann, Jörg; Janßen, Charlotte; Meliß, Rolf Rüdinger; Muley, Thomas; Sack, Ulrich; Steinbuss, Georg; Kriegsmann, Mark

Kriegsmann, Katharina; Lobers, Frithjof; Zgorzelski, Christiane; Kriegsmann, Jörg; Janßen, Charlotte; Meliß, Rolf Rüdinger; Muley, Thomas; Sack, Ulrich; Steinbuss, Georg; Kriegsmann, Mark.

Afiliación

Kriegsmann K; Department of Hematology, Oncology and Rheumatology, Heidelberg University, Heidelberg, Germany.
Lobers F; Department of Clinical Immunology, Medical Faculty, University of Leipzig, Leipzig, Germany.
Zgorzelski C; Institute of Pathology, Heidelberg University, Heidelberg, Germany.
Kriegsmann J; MVZ Histology, Cytology and Molecular Diagnostics Trier, Trier, Germany.
Janßen C; Proteopath Trier, Trier, Germany.
Meliß RR; Center for Industrial Mathematics (ZeTeM), University of Bremen, Bremen, Germany.
Muley T; Institute for Dermatopathology, Hannover, Germany.
Sack U; Translational Lung Research Centre (TLRC) Heidelberg, Member of the German Centre for Lung Research (DZL), Heidelberg, Germany.
Steinbuss G; Department of Clinical Immunology, Medical Faculty, University of Leipzig, Leipzig, Germany.
Kriegsmann M; Department of Hematology, Oncology and Rheumatology, Heidelberg University, Heidelberg, Germany.

Front Oncol ; 13: 1201237, 2023.

Article en En | MEDLINE | ID: mdl-37274276

Palabras clave

artificial intelligence; deep learning; deep learning - artificial neural network; dermatopathology; digital pathology; pathology

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Front Oncol Año: 2023 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Suiza

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