Artificial intelligence model predicts M2 macrophage levels and HCC prognosis with only globally labeled pathological images.

Journal: Frontiers in oncology
Published Date: Dec 20, 2024

Abstract

BACKGROUND AND AIMS: The levels of M2 macrophages are significantly associated with the prognosis of hepatocellular carcinoma (HCC), however, current detection methods in clinical settings remain challenging. Our study aims to develop a weakly supervised artificial intelligence model using globally labeled histological images, to predict M2 macrophage levels and forecast the prognosis of HCC patients by integrating clinical features.

Authors

  • Huiyuan Tian
    Department of Scientific Research and Foreign Affairs, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, Henan, China.
  • Yongshao Tian
    School of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, China.
  • Dujuan Li
    Department of Pathology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, Henan, China.
  • Minfan Zhao
    School of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, China.
  • Qiankun Luo
    Department of Hepatobiliary and Pancreatic Surgery, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, Henan, China.
  • Lingfei Kong
    Department of Pathology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, Henan, China.
  • Tao Qin
    Department of Hepatobiliary and Pancreatic Surgery, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, Henan, China.

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