Your browser doesn't support javascript.
loading
3D pyramidal densely connected network with cross-frame uncertainty guidance for intravascular ultrasound sequence segmentation.
Xia, Menghua; Yang, Hongbo; Huang, Yi; Qu, Yanan; Zhou, Guohui; Zhang, Feng; Wang, Yuanyuan; Guo, Yi.
Affiliation
  • Xia M; Department of Electronic Engineering, School of Information Science and Technology, Fudan University, Shanghai 200433, People's Republic of China.
  • Yang H; Department of Cardiology, Zhongshan Hospital, Fudan University. Shanghai Institute of Cardiovascular Diseases, Shanghai 200032, People's Republic of China.
  • Huang Y; Department of Electronic Engineering, School of Information Science and Technology, Fudan University, Shanghai 200433, People's Republic of China.
  • Qu Y; Department of Cardiology, Zhongshan Hospital, Fudan University. Shanghai Institute of Cardiovascular Diseases, Shanghai 200032, People's Republic of China.
  • Zhou G; Department of Electronic Engineering, School of Information Science and Technology, Fudan University, Shanghai 200433, People's Republic of China.
  • Zhang F; Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention (MICCAI) of Shanghai, Fudan University, Shanghai 200032, People's Republic of China.
  • Wang Y; Department of Cardiology, Zhongshan Hospital, Fudan University. Shanghai Institute of Cardiovascular Diseases, Shanghai 200032, People's Republic of China.
  • Guo Y; Department of Electronic Engineering, School of Information Science and Technology, Fudan University, Shanghai 200433, People's Republic of China.
Phys Med Biol ; 68(5)2023 02 20.
Article in En | MEDLINE | ID: mdl-36745930

Full text: 1 Database: MEDLINE Main subject: Ultrasonography, Interventional / Atherosclerosis Type of study: Diagnostic_studies / Guideline Limits: Animals / Humans Language: En Year: 2023 Type: Article

Full text: 1 Database: MEDLINE Main subject: Ultrasonography, Interventional / Atherosclerosis Type of study: Diagnostic_studies / Guideline Limits: Animals / Humans Language: En Year: 2023 Type: Article