Expert-level segmentation using deep learning for volumetry of polycystic kidney and liver.

Journal: Investigative and clinical urology
PMID: 33135401

Abstract

PURPOSE: Volumetry is used in polycystic kidney and liver diseases (PKLDs), including autosomal dominant polycystic kidney disease (ADPKD), to assess disease progression and drug efficiency. However, since no rapid and accurate method for volumetry has been developed, volumetry has not yet been established in clinical practice, hindering the development of therapies for PKLD. This study presents an artificial intelligence (AI)-based volumetry method for PKLD.

Authors

  • Tae Young Shin
    Synergy A.I. Co.Ltd., Chuncheon, Korea.
  • Hyunsuk Kim
    Department of Internal Medicine, Division of Nephrology, Hallym University Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon, Korea.
  • Joong Hyup Lee
    Synergy A.I. Co.Ltd., Chuncheon, Korea.
  • Jong Suk Choi
    Department of Urology, Hallym University Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon, Korea.
  • Hyun Seok Min
    Tomocube, Inc., Daejeon, Korea.
  • Hyungjoo Cho
    Department of Cardiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
  • Kyungwook Kim
    Schulich School of Medicine & Dentistry, The University of Western, Ontario, London, ON, Canada.
  • Geon Kang
    Department of Urology, Hallym University Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon, Korea.
  • Jungkyu Kim
    Department of Urology, Hallym University Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon, Korea.
  • Sieun Yoon
    Schulich School of Medicine & Dentistry, The University of Western, Ontario, London, ON, Canada.
  • Hyungyu Park
    Department of Urology, Hallym University Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon, Korea.
  • Yeong Uk Hwang
    Department of Radiology, Inje University Ilsan Paik Hospital, Goyang, Korea.
  • Hyo Jin Kim
    Department of Internal Medicine, Pusan National University Hospital, Busan, Korea.
  • Miyeun Han
    Department of Internal Medicine, Pusan National University Hospital, Busan, Korea.
  • EunJin Bae
  • Jong Woo Yoon
    Department of Internal Medicine, Division of Nephrology, Hallym University Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon, Korea.
  • Koon Ho Rha
    Department of Urology, Yonsei University College of Medicine, Seoul, Korea.
  • Yong Seong Lee
    Department of Urology, Hallym University Sacred Heart Hospital, Hallym University Collge of Medicine, Anyang, Korea. novavia@hallym.or.kr.

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