SPE-YOLO: A deep learning model focusing on small pulmonary embolism detection.

Journal: Computers in biology and medicine
Published Date: Nov 13, 2024

Abstract

OBJECTIVES: By developing the deep learning model SPE-YOLO, the detection of small pulmonary embolism has been improved, leading to more accurate identification of this condition. This advancement aims to better serve medical diagnosis and treatment.

Authors

  • Houde Wu
    School of Medical Imaging, Tianjin Medical University, Tianjin 300203, China.
  • Qifei Xu
    Department of Radiology, Linyi People's Hospital, Linyi, Shandong, China.
  • Xinliu He
    School of Medical Technology, Tianjin Medical University, Tianjin, 300203, China; School of Medical Imaging, Tianjin Medical University, Tianjin, 300203, China.
  • Haijun Xu
    Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, 610072, China.
  • Yun Wang
    Department of Anesthesiology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, People's Republic of China.
  • Li Guo
    Department of Dental Implantology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Institute of Stomatology, Nanjing University, Nanjing, China.

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