[Application of image-based artificial intelligence in rhinology].

Abstract

Authors

• W H Chao
  Department of Otorhinolaryngology Head and Neck Surgery, the Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China.
• X Luo
  Department of Infectious Diseases, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.
• G X Liang
  Department of Otorhinolaryngology Head and Neck Surgery, the Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China.
• H Zhang
  Quantum Science and Engineering Centre (QSec), Nanyang Technological University, Singapore, 639798, Singapore.
• T Yuan
  Department of Otorhinolaryngology Head and Neck Surgery, the Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China.
• Q W Wu
  Department of Otorhinolaryngology Head and Neck Surgery, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China; Department of Allergy, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.
• Z H Shi
  Department of Otorhinolaryngology Head and Neck Surgery, the Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China Department of Allergy, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.
• Q T Yang
  Department of Otorhinolaryngology Head and Neck Surgery, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China; Department of Allergy, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.

Keywords

External Resources