Deep learning computer vision algorithm for detecting kidney stone composition.

Journal: BJU international
PMID: 32045113

Abstract

OBJECTIVES: To assess the recall of a deep learning (DL) method to automatically detect kidney stones composition from digital photographs of stones.

Authors

  • Kristian M Black
    Department of Urology, University of Michigan, Ann Arbor, MI, USA.
  • Hei Law
    Department of Computer Science, Princeton University, Princeton, NJ, USA.
  • Ali Aldoukhi
    Department of Urology, University of Michigan, Ann Arbor, MI, USA.
  • Jia Deng
    Vision and Learning Laboratory, Computer Science and Engineering Department, University of Michigan, Ann Arbor, MI 48109.
  • Khurshid R Ghani
    Department of Urology, University of Michigan Medical School, Ann Arbor, MI, USA.

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