Deep-Learning–Driven Quantification of Interstitial Fibrosis in Digitized Kidney Biopsies

American Journal Of Pathology, vol. 191, pp. 1442–1453

Authors 11

1. Yi Zheng

   Boston University

   Affiliation as printed

   Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts; Department of Computer Science, College of Arts and Sciences, Boston University, Boston, Massachusetts

   Department of Computer Science, College of Arts and Sciences, Boston University, Boston, Massachusetts

   Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts

2. Clarissa Araujo Cassol

   Arkana Laboratories · The Ohio State University

   Affiliation as printed

   Arkana Laboratories, Little Rock, Arkansas; Department of Pathology, The Ohio State University, Columbus, Ohio

   Arkana Laboratories, Little Rock, Arkansas

   Department of Pathology, The Ohio State University, Columbus, Ohio

3. Divya Veerapaneni

   Boston University

   Affiliation as printed

   Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts

4. Vipul Chimanlal Chitalia

   Boston University · Boston Medical Center

   Affiliation as printed

   Section of Nephrology, Boston University School of Medicine & Boston Medical Center, Boston, Massachusetts

5. Kevin Y. M. Ren

   Queen's University

   Affiliation as printed

   Department of Pathology and Molecular Medicine, Queen's University, Kingston, Ontario, Canada

6. Shubha S. Bellur

   Queen's University · William Osler Health System

   Affiliation as printed

   Department of Pathology and Molecular Medicine, Queen's University, Kingston, Ontario, Canada; Medical Renal and Genitourinary Pathology, William Osler Health System, Brampton, Ontario, Canada

   Department of Pathology and Molecular Medicine, Queen's University, Kingston, Ontario, Canada

   Medical Renal and Genitourinary Pathology, William Osler Health System, Brampton, Ontario, Canada

7. Peter Boor Aachen Institute of Pathology Department of Nephrology & Electron Microscopy Facility

   Universitätsklinikum Aachen · RWTH Aachen University

   Affiliation as printed

   Institute of Pathology & Department of Nephrology & Electron Microscopy Facility, RWTH Aachen University Hospital, Aachen, Germany

8. Laura M. C. Barisoni

   Duke University

   Affiliation as printed

   Department of Pathology and Medicine, Duke University, Durham, North Carolina

9. Sushrut S. Waikar

   Boston University · Boston Medical Center

   Affiliation as printed

   Section of Nephrology, Boston University School of Medicine & Boston Medical Center, Boston, Massachusetts

10. Margrit Betke

    Boston University

    Affiliation as printed

    Department of Computer Science, College of Arts and Sciences, Boston University, Boston, Massachusetts; Faculty of Computing and Data Sciences, Boston University, Boston, Massachusetts

    Department of Computer Science, College of Arts and Sciences, Boston University, Boston, Massachusetts

    Faculty of Computing and Data Sciences, Boston University, Boston, Massachusetts

11. Vijaya B. Kolachalama corresponding

    Boston University

    Affiliation as printed

    Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts; Department of Computer Science, College of Arts and Sciences, Boston University, Boston, Massachusetts; Faculty of Computing and Data Sciences, Boston University, Boston, Massachusetts. Electronic address: vkola@bu.edu

    Department of Computer Science, College of Arts and Sciences, Boston University, Boston, Massachusetts

    Faculty of Computing and Data Sciences, Boston University, Boston, Massachusetts

    Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts