A deep learning model based on contrast-enhanced computed tomography for differential diagnosis of gallbladder carcinoma.

Journal: Hepatobiliary & pancreatic diseases international : HBPD INT
Published Date: Apr 11, 2023

Abstract

BACKGROUND: Gallbladder carcinoma (GBC) is highly malignant, and its early diagnosis remains difficult. This study aimed to develop a deep learning model based on contrast-enhanced computed tomography (CT) images to assist radiologists in identifying GBC.

Authors

  • Fei Xiang
    Chengdu Knowledge Vision Science and Technology Co., Ltd. Chengdu China.
  • Qing-Tao Meng
    Department of Radiology, Affiliated Chuzhou First People's Hospital, Anhui Medical University, Chuzhou 239000, China.
  • Jing-Jing Deng
    Department of Radiology, Affiliated Chuzhou First People's Hospital, Anhui Medical University, Chuzhou 239000, China.
  • Jie Wang
  • Xiao-Yuan Liang
    Department of Hepatobiliary Pancreatic Surgery, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.
  • Xing-Yu Liu
    National Medical Center for Major Public Health Events, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, China.
  • Sheng Yan
    Department of Chemistry, University of Tokyo, Tokyo, Japan.

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