Lesion segmentation in lung ct scans using unsupervised adversarial learning

HIGHLIGHTS

• who: Moiz Khan Sherwani from the Department of Mathematics and Computer Science, University of Calabria, Rende, Italy have published the article: Lesion segmentation in lung CT scans using unsupervised adversarial learning, in the Journal: (JOURNAL)
• what: In this work an unsupervised learning technique is proposed to automatically segment coronavirus disease (COVID-19) lesions on 2D axial CT lung slices. Even though quantitative results show that the approach did not improve the results compared to Semi-INF-Net, the approach shows that it can train the network without the need for annotation, and the network can . . .
  

   

  

  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.