A deep-learning approach for segmentation of liver tumors in magnetic resonance imaging using UNet+.

Journal: BMC cancer
Published Date: Nov 3, 2023

Abstract

OBJECTIVE: Radiomic and deep learning studies based on magnetic resonance imaging (MRI) of liver tumor are gradually increasing. Manual segmentation of normal hepatic tissue and tumor exhibits limitations.

Authors

  • Jing Wang
    Endoscopy Center, Peking University Cancer Hospital and Institute, Beijing, China.
  • Yanyang Peng
    Department of Radiology, First Medical Center of General Hospital of People's Liberation Army, Peking, China.
  • Shi Jing
    Department of Oncology, Huaihe Hospital, Henan University, Kaifeng, 475000, China.
  • Lujun Han
    State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China; Department of Medical Imaging, Sun Yat-sen University Cancer Center, Guangzhou, China.
  • Tian Li
    College of Plant Protection, Southwest University, Chongqing, China.
  • Junpeng Luo
    Translational Medical Center of Huaihe Hospital, Henan University, 115 West Gate Street, Kaifeng, 475000, China. hiccp@henu.edu.cn.

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