Neural Network and Logistic Regression Models Based on Ultrasound Radiomics and Clinical-Pathological Features to Predict Occult Level II Lymph Node Metastasis in Papillary Thyroid Carcinoma.

Abstract

Authors

• Jia-Wei Feng
  Department of General Surgery, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China (J-W.F., H.L.); Department of thyroid surgery, The Third Affiliated Hospital of Soochow University, Changzhou First People's Hospital, Changzhou, Jiangsu, China (J-W.F., Y-X.Y., J.Y., Y.J.).
• Shui-Qing Liu
  Department of Ultrasound, The Third Affiliated Hospital of Soochow University, Changzhou First People's Hospital, Changzhou, Jiangsu, China (S-Q.L.).
• Yu-Xin Yang
  School of Computer Science, Yangtze University, Jingzhou 434023, China. 201603485@yangtzeu.edu.cn.
• Gao-Feng Qi
  Department of Trauma Center, The Third Affiliated Hospital of Soochow University, Changzhou First People's Hospital, Changzhou, Jiangsu, China (G-F.Q.).
• Xin Ye
  Department of Stomatology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
• Jing Ye
  d Department of Digestive System Diseases, The First Affiliated Hospital, Shihezi University School of Medicine, Shihezi, Xinjiang Province, China.
• Yong Jiang
  Department of Pathology West China Hospital Sichuan University Chengdu China.
• Hui Lin
  Department of Mechanical Aerospace and Nuclear Engineering, Rensselaer Polytechnic Institute, Troy, NY, United States of America.

Keywords

External Resources