Feasible Classified Models for Parkinson Disease from (99m)Tc-TRODAT-1 SPECT Imaging

Lignende værker

• Classification of the Multiple Stages of Parkinson’s Disease by a Deep Convolution Neural Network Based on (99m)Tc-TRODAT-1 SPECT Images
  af: Hsu, Shih-Yen, et al.
  Udgivet: (2020)
• Classification of the Multiple Stages of Parkinson’s Disease by a Deep Convolution Neural Network Based on ^99mTc-TRODAT-1 SPECT Images
  af: Shih-Yen Hsu, et al.
  Udgivet: (2020-10-01)
• Dopamine Transporter Imaging Using (99m)Tc-TRODAT-1 SPECT in Parkinson’s Disease
  af: Bor-Seng-Shu, Edson, et al.
  Udgivet: (2014)
• Fully Automated Quantification of the Striatal Uptake Ratio of [99mTc]-TRODAT with SPECT Imaging: Evaluation of the Diagnostic Performance in Parkinson’s Disease and the Temporal Regression of Striatal Tracer Uptake
  af: Yu-Hua Dean Fang, et al.
  Udgivet: (2015-01-01)
• Fully Automated Quantification of the Striatal Uptake Ratio of [(99m)Tc]-TRODAT with SPECT Imaging: Evaluation of the Diagnostic Performance in Parkinson's Disease and the Temporal Regression of Striatal Tracer Uptake
  af: Fang, Yu-Hua Dean, et al.
  Udgivet: (2015)