A deep batch normalized convolution approach for improving covid-19 detection from chest x-ray images

HIGHLIGHTS

• who: Ibrahim Al-Shourbaji and collaborators from the Department of Computer Science, of Hertfordshire, Hatfield AB, UK have published the research work: A Deep Batch Normalized Convolution Approach for Improving COVID-19 Detection from Chest X-ray Images, in the Journal: Pathogens 2023, 12, x FOR PEER REVIEW of /2023/
• what: In this paper, a novel model, namely BNCNN, is proposed.
• how: This paper proposes novel convolutional neural network (BNCNN) model to identify COVID-19 cases from images in binary and multi-class frameworks with dual aim to extract salient features that improve . . .
  

   

  

  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.