Improving the slice interaction of 2.5D CNN for automatic pancreas segmentation.

Journal: Medical physics
Published Date: Oct 15, 2020

Abstract

PURPOSE: Volumetric pancreas segmentation can be used in the diagnosis of pancreatic diseases, the research about diabetes and surgical planning. Since manual delineation is time-consuming and laborious, we develop a deep learning-based framework for automatic pancreas segmentation in three dimensional (3D) medical images.

Authors

  • Hao Zheng
    Gilead Sciences, Inc, Foster City, California, USA.
  • Lijun Qian
    Department of Radiology, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200240, China.
  • Yulei Qin
    Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, 800 Dongchuan RD. Minhang District, Shanghai, 200240, China.
  • Yun Gu
    Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, SEIEE Building 2-427, No. 800, Dongchuan Road, Minhang District, Shanghai, 200240 China.
  • Jie Yang
    Key Laboratory of Development and Maternal and Child Diseases of Sichuan Province, Department of Pediatrics, Sichuan University, Chengdu, China.

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