A Deep-Learning Model for Predicting the Efficacy of Non-vascularized Fibular Grafting Using Digital Radiography.

Abstract

Authors

• Hao Chen
  The First School of Medicine, Wenzhou Medical University, Wenzhou, China.
• Peng Xue
  National Cancer Center/National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
• Hongzhong Xi
  Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, Jiangsu, China (H.C., P.X., H.X., C.G., S.H., G.S., B.D., X.L.).
• Changyuan Gu
  Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, Jiangsu, China (H.C., P.X., H.X., C.G., S.H., G.S., B.D., X.L.).
• Shuai He
  Department of Otolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, 1 Dongjiaominxiang, Dongcheng District, Beijing, 100730, People's Republic of China.
• Guangquan Sun
  Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, Jiangsu, China (H.C., P.X., H.X., C.G., S.H., G.S., B.D., X.L.).
• Ke Pan
  Department of Obstetrics and Gynecology, Southwest Hospital, Third Military Medical University, Chongqing, China.
• Bin Du
  Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, 518060, China.
• Xin Liu
  Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences, Weifang, Shandong, China.

Keywords

External Resources