Using domain knowledge for robust and generalizable deep learning-based ct-free pet attenuation and scatter correction

HIGHLIGHTS

• who: Rui Guo from the Data preparation This retrospective study complies with all relevant ethical regulations of the respective local ethics committees in Switzerland (Waiver from Cantonal Ethics Committee of Bern, Switzerland) and China (Approval from Ruijin Hospital Ethics Committee Shanghai Jiao Tong University School of Medicine)All patients included gave written informed general consent for retrospective analysis of their data. This is a retrospective study, eight cohorts with , subjects were included (Table, ). The proposed DL algorithm was developed based on , subjects data and the evaluation was performed using the unseen external datasets of different tracers and . . .
  

   

  

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