3D Auto-segmentation of pancreas cancer and surrounding anatomical structures for surgical planning.

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

Abstract

BACKGROUND: This multicenter study aimed to develop a deep learning-based autosegmentation model for pancreatic cancer and surrounding anatomical structures using computed tomography (CT) to enhance surgical planning.

Authors

  • Jinsoo Rhu
    Department of Surgery.
  • Namkee Oh
    Department of Surgery.
  • Gyu-Seong Choi
    Department of Surgery.
  • Jong Man Kim
    Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
  • Seo-Youn Choi
    Department of Radiology, Soonchunhyang University College of Medicine, Bucheon Hospital, Bucheon.
  • Ji Eun Lee
    Department of Radiology, Soonchunhyang University College of Medicine, Bucheon Hospital, Bucheon.
  • Jisun Lee
    Department of Medical and Biological Sciences, The Catholic University of Korea, Bucheon, 14662, Republic of Korea.
  • Woo Kyoung Jeong
    Department of Radiology and Center for Imaging Sciences, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
  • Ji Hye Min
    Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-Ro Gangnam-gu, Seoul,, 06351, Republic of Korea.

Keywords

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