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Artificial intelligence for diagnosis and grading of prostate cancer in biopsies: a population-based, diagnostic study.
Ström, Peter; Kartasalo, Kimmo; Olsson, Henrik; Solorzano, Leslie; Delahunt, Brett; Berney, Daniel M; Bostwick, David G; Evans, Andrew J; Grignon, David J; Humphrey, Peter A; Iczkowski, Kenneth A; Kench, James G; Kristiansen, Glen; van der Kwast, Theodorus H; Leite, Katia R M; McKenney, Jesse K; Oxley, Jon; Pan, Chin-Chen; Samaratunga, Hemamali; Srigley, John R; Takahashi, Hiroyuki; Tsuzuki, Toyonori; Varma, Murali; Zhou, Ming; Lindberg, Johan; Lindskog, Cecilia; Ruusuvuori, Pekka; Wählby, Carolina; Grönberg, Henrik; Rantalainen, Mattias; Egevad, Lars; Eklund, Martin.
Afiliación
  • Ström P; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
  • Kartasalo K; Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
  • Olsson H; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
  • Solorzano L; Centre for Image Analysis, Department of Information Technology, Uppsala University, Uppsala, Sweden.
  • Delahunt B; Department of Pathology and Molecular Medicine, Wellington School of Medicine and Health Sciences, University of Otago, Wellington, New Zealand.
  • Berney DM; Barts Cancer Institute, Queen Mary University of London, London, UK.
  • Bostwick DG; Bostwick Laboratories, Orlando, FL, USA.
  • Evans AJ; Laboratory Medicine Program, University Health Network, Toronto General Hospital, Toronto, ON, Canada.
  • Grignon DJ; Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, IN, USA.
  • Humphrey PA; Department of Pathology, Yale University School of Medicine, New Haven, CT, USA.
  • Iczkowski KA; Department of Pathology, Medical College of Wisconsin, Milwaukee, WI, USA.
  • Kench JG; Department of Tissue Pathology and Diagnostic Oncology, Royal Prince Alfred Hospital and Central Clinical School, University of Sydney, Sydney, NSW, Australia.
  • Kristiansen G; Institute of Pathology, University Hospital Bonn, Bonn, Germany.
  • van der Kwast TH; Laboratory Medicine Program, University Health Network, Toronto General Hospital, Toronto, ON, Canada.
  • Leite KRM; Department of Urology, Laboratory of Medical Research, University of São Paulo Medical School, São Paulo, Brazil.
  • McKenney JK; Pathology and Laboratory Medicine Institute, Cleveland Clinic, Cleveland, OH, USA.
  • Oxley J; Department of Cellular Pathology, Southmead Hospital, Bristol, UK.
  • Pan CC; Department of Pathology, Taipei Veterans General Hospital, Taipei, Taiwan.
  • Samaratunga H; Aquesta Uropathology and University of Queensland, Brisbane, QLD, Australia.
  • Srigley JR; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada.
  • Takahashi H; Department of Pathology, Jikei University School of Medicine, Tokyo, Japan.
  • Tsuzuki T; Department of Surgical Pathology, School of Medicine, Aichi Medical University, Nagakute, Japan.
  • Varma M; Department of Cellular Pathology, University Hospital of Wales, Cardiff, UK.
  • Zhou M; Department of Pathology, UT Southwestern Medical Center, Dallas, TX, USA.
  • Lindberg J; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
  • Lindskog C; Department of Immunology, Genetics, and Pathology, Uppsala University, Uppsala, Sweden.
  • Ruusuvuori P; Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
  • Wählby C; Centre for Image Analysis, Department of Information Technology, Uppsala University, Uppsala, Sweden; BioImage Informatics Facility of SciLifeLab, Uppsala, Sweden.
  • Grönberg H; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; Department of Oncology, St Göran Hospital, Stockholm, Sweden.
  • Rantalainen M; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
  • Egevad L; Department of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden.
  • Eklund M; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. Electronic address: martin.eklund@ki.se.
Lancet Oncol ; 21(2): 222-232, 2020 02.
Article en En | MEDLINE | ID: mdl-31926806
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neoplasias de la Próstata / Inteligencia Artificial / Interpretación de Imagen Asistida por Computador / Diagnóstico por Computador / Clasificación del Tumor Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Humans / Male / Middle aged País/Región como asunto: Europa Idioma: En Revista: Lancet Oncol Asunto de la revista: NEOPLASIAS Año: 2020 Tipo del documento: Article País de afiliación: Suecia
Texto completo
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neoplasias de la Próstata / Inteligencia Artificial / Interpretación de Imagen Asistida por Computador / Diagnóstico por Computador / Clasificación del Tumor Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Humans / Male / Middle aged País/Región como asunto: Europa Idioma: En Revista: Lancet Oncol Asunto de la revista: NEOPLASIAS Año: 2020 Tipo del documento: Article País de afiliación: Suecia