Deep-learning segmentation of ultrasound images for automated calculation of the hydronephrosis area to renal parenchyma ratio.

Journal: Investigative and clinical urology
Published Date:

Abstract

PURPOSE: We investigated the feasibility of measuring the hydronephrosis area to renal parenchyma (HARP) ratio from ultrasound images using a deep-learning network.

Authors

  • Sang Hoon Song
    Department of Urology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • Jae Hyeon Han
    Department of Urology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • Kun Suk Kim
    Department of Urology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • Young Ah Cho
    1 Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul 05505, South Korea.
  • Hye Jung Youn
    Department of Convergence Medicine, Asan Medical Center, Seoul, Korea.
  • Young In Kim
    Department of Medical Science, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, Seoul, Korea.
  • Jihoon Kweon
    Division of Cardiology, Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea. kjihoon2@naver.com.