Development and validation of a deep learning radiomics nomogram for preoperatively differentiating thymic epithelial tumor histologic subtypes.

Abstract

Authors

• XiangMeng Chen
  The Department of Radiology, Jiangmen Central Hospital/Affiliated Jiangmen Hospital of Sun Yat-Sen University, No. 23 Haibang Street, Jiangmen, 529000, Guangdong, China.
• Bao Feng
  The Department of Radiology, Jiangmen Central Hospital/Affiliated Jiangmen Hospital of Sun Yat-Sen University, No. 23 Haibang Street, Jiangmen, 529000, Guangdong, China.
• Kuncai Xu
  Laboratory of Artificial Intelligence of Biomedicine, Guilin University of Aerospace Technology, Guilin, Guangxi Province, 541004, People's Republic of China.
• Yehang Chen
  Biomedical and Artificial Intelligence Laboratory, Guilin University of Aerospace Technology, Guilin, China.
• Xiaobei Duan
  Department of Nuclear Medicine, Jiangmen Central Hospital, Jiangmen, Guangdong Province, 529030, PR China. Electronic address: 258573168@qq.com.
• Zhifa Jin
  Department of Radiology, Jiangmen Central Hospital, Jiangmen, Guangdong Province, 529030, People's Republic of China.
• KunWei Li
  The Department of Radiology, The Fifth Affiliated Hospital Sun Yat-Sen University, NO.52 Meihuadong Street, Zhuhai, 519000, Guangdong Province, China.
• Ronggang Li
  Department of Pathology, Jiangmen Central Hospital, Jiangmen, Guangdong Province, 529030, People's Republic of China.
• Wansheng Long
  Department of Radiology, Jiangmen Central Hospital, Affiliated Jiangmen Hospital of Guangdong Medical University, Affiliated Jiangmen Hospital of SUN YAT-SEN University, 23 Beijie Haibang Street, Jiangmen, 529030, China.
• XueGuo Liu
  The Department of Radiology, The Fifth Affiliated Hospital Sun Yat-Sen University, NO.52 Meihuadong Street, Zhuhai, 519000, Guangdong Province, China. liuxueg@mail.sysu.edu.cn.

Keywords

External Resources