High-resolution synthesis of high-density breast mammograms: application to improved fairness in deep learning based mass detection

HIGHLIGHTS

• who: Lidia Garrucho from the Philips Healthcare, United States University of Ulm, Germany have published the paper: High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection, in the Journal: (JOURNAL)
• what: The aim of this study is two-fold. In the setup of this study, the synthetic images were shown to be indistinguishable from original mammograms. The models were trained using a single GPU (24GB NVIDIA GeForce RTX 3090) for a maximum of 200 epochs, using a batch size of 1 and adjusting the learning rate . . .
  

   

  

  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.