CT-Based Super-Resolution Deep Learning Models with Attention Mechanisms for Predicting Spread Through Air Spaces of Solid or Part-Solid Lung Adenocarcinoma.

Abstract

Authors

• Shuxing Wang
  The Second Clinical Medical College, Jinan University, Shenzhen, Guangdong, China (S.W., X.L., Y.P., J.G.).
• Xiaowen Liu
  School of Informatics and Computing, Indiana University-Purdue University Indianapolis, Indianapolis, Indiana 46202, United States.
• Changsi Jiang
  Department of Radiology, Shenzhen People's Hospital, the Second Clinical Medical College of Jinan University, Shenzhen, 518020, China.
• Wenyan Kang
  Department of Radiology, Cancer Hospital Chinese Academy of Medical Sciences, Shenzhen Center, Shenzhen, China (W.K.).
• Yudie Pan
  The Second Clinical Medical College, Jinan University, Shenzhen, Guangdong, China (S.W., X.L., Y.P., J.G.).
• Xue Tang
  Department of Radiology, Shenzhen People's Hospital (The Second Clinical Medical College of Jinan University, The First Affiliated Hospital of Southern University of Science and Technology), Floor 1 Bldg 4, Dongbeilu 1017, Shenzhen 518020, Guangdong, China (C.J., X.T., Y.L., J.G.).
• Yan Luo
  School of Public Health and Management, Research Center for Medicine and Social Development, Innovation Center for Social risk Governance in Health, Chongqing Medical University, Chongqing 400016, China.
• Jingshan Gong
  Department of Radiology, Shenzhen People's Hospital, the Second Clinical Medical College of Jinan University, Shenzhen, 518020, China. jshgong@sina.com.

Keywords

External Resources