Point-wise spatial network for identifying carcinoma at the upper digestive and respiratory tract.

Journal: BMC medical imaging
PMID: 37749498

Abstract

PROBLEM: Artificial intelligence has been widely investigated for diagnosis and treatment strategy design, with some models proposed for detecting oral pharyngeal, nasopharyngeal, or laryngeal carcinoma. However, no comprehensive model has been established for these regions.

Authors

  • Lei Zhou
    Department of Gastroenterology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Huaili Jiang
    Department of Otorhinolaryngology-Head and Neck Surgery, Zhongshan Hospital Affiliated to Fudan University, Xuhui District, 180 Fenglin Road, , Shanghai, 200032, P. R. China.
  • Guangyao Li
  • Jiaye Ding
    Department of Otorhinolaryngology-Head and Neck Surgery, Zhongshan Hospital Affiliated to Fudan University, Xuhui District, 180 Fenglin Road, , Shanghai, 200032, P. R. China.
  • Cuicui Lv
    Department of Otorhinolaryngology-Head and Neck Surgery, Zhongshan Hospital Affiliated to Fudan University, Xuhui District, 180 Fenglin Road, , Shanghai, 200032, P. R. China.
  • Maoli Duan
    Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden.
  • Wenfeng Wang
    School of Electronic and Electrical Engineering, Shanghai Institute of Technology, Shanghai 200235, China.
  • Kongyang Chen
    Institute of Artificial Intelligence and Blockchain, Guangzhou University, Guangzhou, 510006, P. R. China.
  • Na Shen
    Hong Kong Shue Yan University, Hong Kong, China.
  • Xinsheng Huang
    Department of Otorhinolaryngology, Zhongshan Hospital Affiliated to Fudan University, Shanghai 200032, P.R.China.

Keywords

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