A Lightweight Low-dose PET Image Super-resolution Reconstruction Method based on Convolutional Neural Network.

Abstract

Authors

• Kun Liu
  Department of Anesthesiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, China.
• Haiyun Yu
  College of Quality and Technical Supervision, Hebei University, Baoding 071002, China.
• Mingyang Zhang
  School of Quality and Technical Supervision, Hebei University, Baoding, Hebei 071002, P.R.China.
• Lei Zhao
  Brain Cognition and Brain-Computer Intelligence Integration Group, Kunming University of Science and Technology, Kunming, China.
• Xianghui Wang
  School of Quality and Technical Supervision, Hebei University, Baoding, Hebei 071002, P.R.China.
• Shuang Liu
  Key Laboratory for Applied Technology of Sophisticated Analytical Instruments of Shandong Province, Shandong Analysis and Test Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250014, China.
• Haoran Li
  School of Quality and Technical Supervision, Hebei University, Baoding, Hebei 071002, P.R.China.
• Kun Yang
  Department of Bone and Joint Surgery, Affiliated Hospital of Southwest Medical University, Luzhou Sichuan, 646000, P.R.China.

Keywords

External Resources