Application of MRI image segmentation algorithm for brain tumors based on improved YOLO.

Journal: Frontiers in neuroscience
Published Date: Jan 7, 2025

Abstract

OBJECTIVE: To assist in the rapid clinical identification of brain tumor types while achieving segmentation detection, this study investigates the feasibility of applying the deep learning YOLOv5s algorithm model to the segmentation of brain tumor magnetic resonance images and optimizes and upgrades it on this basis.

Authors

  • Tao Yang
    The First Clinical Medical College, The Affiliated People's Hospital of Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.
  • Xueqi Lu
    School of Biomedical Engineering, Southern Medical University, Guangzhou, China.
  • Lanlan Yang
    The First Clinical Medical College, The Affiliated People's Hospital of Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.
  • Miyang Yang
    The First Clinical Medical College, The Affiliated People's Hospital of Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.
  • Jinghui Chen
    The First Clinical Medical College, The Affiliated People's Hospital of Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.
  • Hongjia Zhao
    The Affiliated People's Hospital of Fujian University of Traditional Chinese Medicine, Fuzhou, China.

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