3D auto-segmentation of biliary structure of living liver donors using magnetic resonance cholangiopancreatography for enhanced preoperative planning.

Journal: International journal of surgery (London, England)
Published Date: Apr 1, 2024

Abstract

BACKGROUND: This study aimed to develop an automated segmentation system for biliary structures using a deep learning model, based on data from magnetic resonance cholangiopancreatography (MRCP).

Authors

  • Namkee Oh
    Department of Surgery.
  • Jae-Hun Kim
    Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
  • Jinsoo Rhu
    Department of Surgery.
  • Woo Kyoung Jeong
    Department of Radiology and Center for Imaging Sciences, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
  • Gyu-Seong Choi
    Department of Surgery.
  • Jong Man Kim
    Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
  • Jae-Won Joh
    Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.

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