Development and Validation of a Deep-learning Model to Assist With Renal Cell Carcinoma Histopathologic Interpretation.

Journal: Urology
Published Date: Jul 22, 2020

Abstract

OBJECTIVE: To develop and test the ability of a convolutional neural network (CNN) to accurately identify the presence of renal cell carcinoma (RCC) on histopathology specimens, as well as differentiate RCC histologic subtype and grade.

Authors

  • Michael Fenstermaker
    Department of Urology, University of Michigan, Ann Arbor, MI. Electronic address: mfenster@med.umich.edu.
  • Scott A Tomlins
    Department of Pathology, University of Michigan, Ann Arbor, MI; University of Michigan Rogel Cancer Center, Ann Arbor, MI.
  • Karandeep Singh
    Department of Internal Medicine and School of Information, University of Michigan, Ann Arbor, Michigan.
  • Jenna Wiens
    Computer Science and Engineering, University of Michigan, Ann Arbor.
  • Todd M Morgan
    University of Michigan Comprehensive Cancer Center, Ann Arbor, MI.

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