Cbct-to-ct translation using registration-based generative adversarial networks in patients with head and neck cancer

HIGHLIGHTS

• who: Chitchaya Suwanraksa and colleagues from the Department of Radiology, Faculty of Medicine, Prince of Songkla University, Songkla, Thailand have published the paper: CBCT-to-CT Translation Using Registration-Based Generative Adversarial Networks in Patients with Head and Neck Cancer, in the Journal: Cancers 2023, 15, 2017. of 20/02/2023
• what: The aim is to perform dose calculation using updated anatomical structures of the patient with sufficiently accurate HU values. This study investigated methods to improve the image_quality of CBCT by generating sCT with the image_quality of CT while preserving the patient`s anatomy . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.