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Deep learning-based classification of kidney transplant pathology: a retrospective, multicentre, proof-of-concept study.
Kers, Jesper; Bülow, Roman D; Klinkhammer, Barbara M; Breimer, Gerben E; Fontana, Francesco; Abiola, Adeyemi Adefidipe; Hofstraat, Rianne; Corthals, Garry L; Peters-Sengers, Hessel; Djudjaj, Sonja; von Stillfried, Saskia; Hölscher, David L; Pieters, Tobias T; van Zuilen, Arjan D; Bemelman, Frederike J; Nurmohamed, Azam S; Naesens, Maarten; Roelofs, Joris J T H; Florquin, Sandrine; Floege, Jürgen; Nguyen, Tri Q; Kather, Jakob N; Boor, Peter.
Affiliation
  • Kers J; Department of Pathology, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands; Department of Pathology, Leiden Transplant Center, Leiden University Medical Center, Leiden, Netherlands; Van 't Hoff Institute for Molecular Sciences, University of Amsterdam, Amsterdam, Netherlands. Electronic
  • Bülow RD; Institute of Pathology, RWTH Aachen University Hospital, Aachen, Germany.
  • Klinkhammer BM; Institute of Pathology, RWTH Aachen University Hospital, Aachen, Germany.
  • Breimer GE; Department of Pathology, University Medical Center Utrecht, Utrecht, Netherlands.
  • Fontana F; Department of Pathology, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands; Nephrology and Dialysis Unit, University Hospital of Modena, Modena, Italy.
  • Abiola AA; Department of Pathology, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands; Department of Morbid Anatomy and Forensic Medicine, Obafemi Awolowo University Teaching Hospitals Complex, Ile-Ife, Nigeria.
  • Hofstraat R; Department of Pathology, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands; Van 't Hoff Institute for Molecular Sciences, University of Amsterdam, Amsterdam, Netherlands.
  • Corthals GL; Department of Pathology, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands; Van 't Hoff Institute for Molecular Sciences, University of Amsterdam, Amsterdam, Netherlands.
  • Peters-Sengers H; Center for Experimental and Molecular Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands.
  • Djudjaj S; Institute of Pathology, RWTH Aachen University Hospital, Aachen, Germany.
  • von Stillfried S; Institute of Pathology, RWTH Aachen University Hospital, Aachen, Germany.
  • Hölscher DL; Institute of Pathology, RWTH Aachen University Hospital, Aachen, Germany.
  • Pieters TT; Department of Nephrology and Hypertension, University Medical Center Utrecht, Utrecht, Netherlands.
  • van Zuilen AD; Department of Nephrology and Hypertension, University Medical Center Utrecht, Utrecht, Netherlands.
  • Bemelman FJ; Renal Transplant Unit, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands.
  • Nurmohamed AS; Renal Transplant Unit, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands.
  • Naesens M; Department of Nephrology and Renal Transplantation, University Hospitals Leuven, Leuven, Belgium; Department of Microbiology, Immunology, and Transplantation, KU Leuven, Leuven, Belgium.
  • Roelofs JJTH; Department of Pathology, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands.
  • Florquin S; Department of Pathology, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands.
  • Floege J; Department of Nephrology and Immunology, RWTH Aachen University Hospital, Aachen, Germany.
  • Nguyen TQ; Department of Pathology, University Medical Center Utrecht, Utrecht, Netherlands.
  • Kather JN; Department of Medicine III, RWTH Aachen University Hospital, Aachen, Germany; Pathology and Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK; Medical Oncology, National Center for Tumor Diseases, University Hospital Heidelberg, Heidelberg, Germany.
  • Boor P; Department of Nephrology and Immunology, RWTH Aachen University Hospital, Aachen, Germany; Institute of Pathology, RWTH Aachen University Hospital, Aachen, Germany. Electronic address: pboor@ukaachen.de.
Lancet Digit Health ; 4(1): e18-e26, 2022 01.
Article in En | MEDLINE | ID: mdl-34794930
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Kidney Transplantation / Deep Learning / Graft Rejection Type of study: Observational_studies / Prognostic_studies Limits: Humans Language: En Journal: Lancet Digit Health Year: 2022 Document type: Article Country of publication: United kingdom
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Kidney Transplantation / Deep Learning / Graft Rejection Type of study: Observational_studies / Prognostic_studies Limits: Humans Language: En Journal: Lancet Digit Health Year: 2022 Document type: Article Country of publication: United kingdom