An Integrated Nomogram Combining Deep Learning and Radiomics for Predicting Malignancy of Pulmonary Nodules Using CT-Derived Nodules and Adipose Tissue: A Multicenter Study.

Abstract

Authors

• Shidi Miao
  School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China.
• Qifan Xuan
  School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China.
• Hanbing Xie
  Department of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, China.
• Yuyang Jiang
  The State Key Laboratory Breeding Base-Shenzhen Key Laboratory of Chemical Biology, the Graduate School at Shenzhen, Tsinghua University, Shenzhen, 518055, P. R. China.
• Mengzhuo Sun
  School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China.
• Wenjuan Huang
  Department of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, China.
• Jing Li
  Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, China.
• Hongzhuo Qi
  School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China.
• Ao Li
  Beijing University of Chinese Medicine, Beijing, China.
• Qiujun Wang
  Department of General Practice, The Second Affiliated Hospital, Harbin Medical University, Harbin, China.
• Zengyao Liu
  Department of Interventional Medicine, The First Affiliated Hospital, Harbin Medical University, Harbin, China.
• Ruitao Wang
  Department of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, China.

Keywords

External Resources