Implications of ultrasound-based deep learning model for preoperatively differentiating combined hepatocellular-cholangiocarcinoma from hepatocellular carcinoma and intrahepatic cholangiocarcinoma.

Journal: Abdominal radiology (New York)
PMID: 37999743

Abstract

OBJECTIVES: The current study developed an ultrasound-based deep learning model to make preoperative differentiation among hepatocellular carcinoma (HCC), intrahepatic cholangiocarcinoma (ICC), and combined hepatocellular-cholangiocarcinoma (cHCC-ICC).

Authors

  • Jianan Chen
    HUB of Intelligent Neuro-Engineering (HUBIN), Aspire CREATe, DSIS, University College London, London, HA7 4LP, UK.
  • Weibin Zhang
    Department of Ultrasound, Huashan Hospital, Fudan University, Shanghai, China.
  • Jingwen Bao
    School of Medical Science, Hexi University, Zhangye, China.
  • Kun Wang
    CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
  • Qiannan Zhao
    Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Yuli Zhu
    Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, China. zyl_ya@163.com.
  • Yanling Chen
    Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China. chenyling59@mail.sysu.edu.cn.

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