Covid-transformer: interpretable covid-19 detection using vision transformer for healthcare

HIGHLIGHTS

• who: Debaditya Shome and collaborators from the School of Electronics Engineering, KIIT Deemed to be University, Odisha, India have published the article: COVID-Transformer: Interpretable COVID-19 Detection Using Vision Transformer for Healthcare, in the Journal: (JOURNAL)
• what: The authors proposed a robust and interpretable deep learning model that can efficiently diagnose COVID-19 infection at scale in real-world situations for healthcare.
• how: A Grad-CAM based visualization is created which makes the approach by radiologists and can be used to monitor the progression of the disease in the affected lungs assisting . . .
  

   

  

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

  Thanks :)

  Username or E-mail:

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