Automatic segmentation of ameloblastoma on ct images using deep learning with limited data.

Journal: BMC oral health
PMID:

Abstract

BACKGROUND: Ameloblastoma, a common benign tumor found in the jaw bone, necessitates accurate localization and segmentation for effective diagnosis and treatment. However, the traditional manual segmentation method is plagued with inefficiencies and drawbacks. Hence, the implementation of an AI-based automatic segmentation approach is crucial to enhance clinical diagnosis and treatment procedures.

Authors

  • Liang Xu
  • Kaixi Qiu
    Fuzhou No. 1 Hospital Affiliated with Fujian Medical University, Fuzhou, Fujian, China.
  • Kaiwang Li
    School of Aeronautics and Astronautics, Tsinghua University, Beijing, China.
  • Ge Ying
    Jianning County General Hospital, , Fuzhou, China.
  • Xiaohong Huang
    The First Affiliated Hospital of Fujian Medical University, Fuzhou, China. 13905006768@139.com.
  • Xiaofeng Zhu
    School of Chemistry and Chemical Engineering, Shihezi University Shihezi Xinjiang 832003 PR China eavanh@163.com lqridge@163.com 1175828694@qq.com 318798309@qq.com wzj_tea@shzu.edu.cn.