A novel framework based on deep learning and anova feature selection method for diagnosis of covid-19 cases from chest x-ray images

HIGHLIGHTS

• who: X-Ray, Images and Hamid, Nasiri from the Department of Computer Engineering, Amirkabir University of Technology, Tehran, Iran have published the research: A Novel Framework Based on Deep Learning and ANOVA Feature Selection Method for Diagnosis of COVID-19 Cases from Chest X-Ray Images, in the Journal: Computational Intelligence and Neuroscience of 12/Oct/2021
• what: Early diagnosis of COVID-19 is a crucial step to prevent mortality and transmission of the virus.
• how: In this paper a pretrained network DenseNet169 was employed to extract features from Features were chosen by . . .
  

   

  

  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.