Development and Validation of a Deep Learning Radiomics Model to Predict High-Risk Pathologic Pulmonary Nodules Using Preoperative Computed Tomography.

Abstract

Authors

• Guanchao Ye
  Department of Thoracic Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
• Guangyao Wu
  Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
• Kuo Li
  Department of Thoracic Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (G.Y., K.L., C.Z., Y.L.).
• Chi Zhang
  Department of Thoracic Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
• Yuzhou Zhuang
  School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China (Y.Z., H.L., E.S.).
• Hong Liu
  Key Laboratory of Grain and Oil Processing and Food Safety of Sichuan Province, College of Food and Bioengineering, Xihua University Chengdu 610039 China xingyage1@163.com.
• Enmin Song
  School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China.
• Yu Qi
  Department of Thoracic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
• Yiying Li
  Department of Breast Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
• Fan Yang
  School of Electrical Engineering and Automation, Jiangsu Normal University, Xuzhou, China.
• Yongde Liao
  Department of Thoracic Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Keywords

External Resources