[A deep learning model based on magnetic resonance imaging and clinical feature fusion for predicting preoperative cytokeratin 19 status in hepatocellular carcinoma].

Journal: Nan fang yi ke da xue xue bao = Journal of Southern Medical University
Published Date: Sep 20, 2024

Abstract

OBJECTIVE: To establish a deep learning model for testing the feasibility of combining magnetic resonance imaging (MRI) deep learning features with clinical features for preoperative prediction of cytokeratin 19 (CK19) status of hepatocellular carcinoma (HCC).

Authors

  • W Fang
    Department of Pathology, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China.
  • H Xiao
    Department of Pathology, the Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan, China.
  • S Wang
    Bruker Optics Inc, Fremont, CA, United States of America.
  • X Lin
    Guangdong Shunde Innovative Design Institute, Foshan 528300, China.
  • C Chen
    Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China.

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