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Performance and limitations of a supervised deep learning approach for the histopathological Oxford Classification of glomeruli with IgA nephropathy.
Altini, Nicola; Rossini, Michele; Turkevi-Nagy, Sándor; Pesce, Francesco; Pontrelli, Paola; Prencipe, Berardino; Berloco, Francesco; Seshan, Surya; Gibier, Jean-Baptiste; Pedraza Dorado, Aníbal; Bueno, Gloria; Peruzzi, Licia; Rossi, Mattia; Eccher, Albino; Li, Feifei; Koumpis, Adamantios; Beyan, Oya; Barratt, Jonathan; Vo, Huy Quoc; Mohan, Chandra; Nguyen, Hien Van; Cicalese, Pietro Antonio; Ernst, Angela; Gesualdo, Loreto; Bevilacqua, Vitoantonio; Becker, Jan Ulrich.
Afiliación
  • Altini N; Department of Electrical and Information Engineering (DEI), Polytechnic University of Bari, Via Edoardo Orabona n.4, Bari 70126, Italy.
  • Rossini M; Nephrology Dialysis and Transplantation Unit, Department of Emergency and Organ Transplantation, University of Bari, Bari, Italy.
  • Turkevi-Nagy S; Department of Pathology, Albert Szent-Györgyi Health Center, University of Szeged, Szeged, Hungary.
  • Pesce F; Nephrology Dialysis and Transplantation Unit, Department of Emergency and Organ Transplantation, University of Bari, Bari, Italy; Division of Renal Medicine, "Fatebenefratelli Isola Tiberina - Gemelli Isola", Rome, Italy.
  • Pontrelli P; Nephrology Dialysis and Transplantation Unit, Department of Emergency and Organ Transplantation, University of Bari, Bari, Italy.
  • Prencipe B; Department of Electrical and Information Engineering (DEI), Polytechnic University of Bari, Via Edoardo Orabona n.4, Bari 70126, Italy.
  • Berloco F; Department of Electrical and Information Engineering (DEI), Polytechnic University of Bari, Via Edoardo Orabona n.4, Bari 70126, Italy.
  • Seshan S; Department of Pathology, Weill-Cornell Medical Center/New York Presbyterian Hospital, New York, NY, USA.
  • Gibier JB; Department of Pathology, Pathology Institute, Lille University Hospital (CHU), Lille, France.
  • Pedraza Dorado A; VISILAB Research Group, University of Castilla-La Mancha, Ciudad Real, Spain.
  • Bueno G; VISILAB Research Group, University of Castilla-La Mancha, Ciudad Real, Spain.
  • Peruzzi L; AOU Città della Salute e della Scienza di Torino, Regina Margherita Children's Hospital, Turin, Italy.
  • Rossi M; Division of Nephrology, Department of Medicine, University of Verona, Verona, Italy.
  • Eccher A; Section of Pathology, Department of Medical and Surgical Sciences for Children and Adults, University of Modena and Reggio Emilia, University Hospital of Modena, Modena, Italy.
  • Li F; Faculty of Medicine, University Hospital Cologne, University of Cologne, Institute for Medical Informatics, Cologne, Germany.
  • Koumpis A; Faculty of Medicine, University Hospital Cologne, University of Cologne, Institute for Medical Informatics, Cologne, Germany.
  • Beyan O; Faculty of Medicine, University Hospital Cologne, University of Cologne, Institute for Medical Informatics, Cologne, Germany.
  • Barratt J; Department of Cardiovascular Sciences, University of Leicester, Leicester, UK.
  • Vo HQ; Department of Biomedical Engineering, University of Houston, Houston, USA.
  • Mohan C; Department of Biomedical Engineering, University of Houston, Houston, USA.
  • Nguyen HV; Department of Biomedical Engineering, University of Houston, Houston, USA.
  • Cicalese PA; Department of Biomedical Engineering, University of Houston, Houston, USA.
  • Ernst A; Institute of Medical Statistics and Computational Biology, University of Cologne, Cologne, Germany.
  • Gesualdo L; Nephrology Dialysis and Transplantation Unit, Department of Emergency and Organ Transplantation, University of Bari, Bari, Italy.
  • Bevilacqua V; Department of Electrical and Information Engineering (DEI), Polytechnic University of Bari, Via Edoardo Orabona n.4, Bari 70126, Italy; Apulian Bioengineering s.r.l., Via delle Violette n.14, Modugno 70026, Italy. Electronic address: vitoantonio.bevilacqua@poliba.it.
  • Becker JU; Institute of Pathology, University Hospital of Cologne, Cologne, Germany.
Comput Methods Programs Biomed ; 242: 107814, 2023 Dec.
Article en En | MEDLINE | ID: mdl-37722311
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo / Glomerulonefritis por IGA Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Comput Methods Programs Biomed Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Italia Pais de publicación: Irlanda
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo / Glomerulonefritis por IGA Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Comput Methods Programs Biomed Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Italia Pais de publicación: Irlanda