A deep learning model combining multimodal radiomics, clinical and imaging features for differentiating ocular adnexal lymphoma from idiopathic orbital inflammation.

Abstract

Authors

• Xiaoyang Xie
  Xi'an Key Lab of Radiomics and Intelligent Perception, School of Information Science and Technology, Northwest University, Xi'an, 710069, Shaanxi, China.
• Lijuan Yang
  State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, School of Chemistry and Pharmaceutical Sciences, Guangxi Normal University, Guilin, 541004, China.
• Fengjun Zhao
  Xi'an Key Lab of Radiomics and Intelligent Perception, School of Information Science and Technology, Northwest University, Xi'an, 710069, Shaanxi, China. fjzhao@nwu.edu.cn.
• Dong Wang
  Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, China.
• Hui Zhang
  Department of Pulmonary Vessel and Thrombotic Disease, Sixth Medical Center, Chinese PLA General Hospital, Beijing, China.
• Xuelei He
• Xin Cao
  Zhongshan Hospital, Institute of Clinical Science, Shanghai Medical College, Fudan University, Shanghai 200032, China.
• Huangjian Yi
  Xi'an Key Lab of Radiomics and Intelligent Perception, School of Information Science and Technology, Northwest University, Xi'an, 710069, Shaanxi, China.
• Xiaowei He
• Yuqing Hou
  Xi'an Key Lab of Radiomics and Intelligent Perception, School of Information Science and Technology, Northwest University, Xi'an, 710069, Shaanxi, China. houyuqin@nwu.edu.cn.

Keywords

External Resources