nnU-Net-based high-resolution CT features quantification for interstitial lung diseases.

Abstract

Authors

• Qiuxi Lin
  Department of Radiology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
• Ziyi Zhang
  College of Computer and Data Science/College of Software, Fuzhou University, Fujian, China.
• Xirui Xiong
  School of Software, Shanghai Jiao Tong University, Shanghai, China.
• Xilai Chen
  Department of Radiology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
• Ting Ma
  Department of Electronic and Information Engineering, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China.
• Yibin Chen
  School of Software, Shanghai Jiao Tong University, Shanghai, China.
• Ting Li
  Institute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
• Zhenchu Long
  Department of Radiology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
• Qun Luo
  Department of Blood Transfusion, 307 Hospital of Chinese People's Liberation Army, Beijing, China.
• Yan Sun
  Department of Biochemistry, Albert Einstein College of Medicine, New York, NY, United States.
• Lihong Jiang
  Heilongjiang Key Laboratory for Laboratory Animals and Comparative Medicine, College of Veterinary Medicine, Northeast Agricultural University, Harbin 150030, China.
• Wei He
  Department of Orthopaedics Surgery, First Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine, Guangzhou, China.
• Yu Deng
  National Engineering Research Center for Cereal Fermentation and Food Biomanufacturing, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, People's Republic of China.

Keywords

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