nnU-Net-Based Pancreas Segmentation and Volume Measurement on CT Imaging in Patients with Pancreatic Cancer.

Journal: Academic radiology
Published Date: Feb 12, 2024

Abstract

RATIONALE AND OBJECTIVES: To develop and validate a deep learning (DL)-based method for pancreas segmentation on CT and automatic measurement of pancreatic volume in pancreatic cancer.

Authors

  • Ehwa Yang
    Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
  • Jae-Hun Kim
    Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of 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.
  • Woo Kyoung Jeong
    Department of Radiology and Center for Imaging Sciences, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
  • Jeong Ah Hwang
    Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
  • Jeong Hyun Lee
    1 Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine , Seoul, Korea.
  • Jaeseung Shin
  • Honsoul Kim
    Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
  • Seol Eui Lee
    Research Institute for Future Medicine, Samsung Medical Center, Seoul, Republic of Korea.
  • Sun-Young Baek
    Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea; Research Institute for Future Medicine, Samsung Medical Center, Seoul, Republic of Korea.

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