A lightweight intelligent laryngeal cancer detection system for rural areas.

Journal: American journal of otolaryngology
PMID: 39137696

Abstract

OBJECTIVE: Early diagnosis of laryngeal cancer (LC) is crucial, particularly in rural areas. Despite existing studies on deep learning models for LC identification, challenges remain in selecting suitable models for rural areas with shortages of laryngologists and limited computer resources. We present the intelligent laryngeal cancer detection system (ILCDS), a deep learning-based solution tailored for effective LC screening in resource-constrained rural areas.

Authors

  • Yi-Fan Kang
    Department of Otolaryngology-Head and Neck Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
  • Lie Yang
    School of Mechanical and Aerospace Engineering, Nanyang Technological University, 637460, Singapore.
  • Kai Xu
    Department of Anesthesiology, Huai'an Hospital Affiliated to Yangzhou University (The Fifth People's Hospital of Huai'an), Huaian, China.
  • Bin-Bin Hu
    School of Mechanical and Aerospace Engineering, Nanyang Technological University, 637460, Singapore.
  • Lan-Jun Cai
    Department of Otolaryngology-Head and Neck Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
  • Yin-Hao Liu
    Department of Otolaryngology-Head and Neck Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
  • Xiang Lu
    Department of Otolaryngology-Head and Neck Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China. Electronic address: luxiangent@hotmail.com.

Keywords

External Resources

Popular Topics
Recent Journals