D2BOF-COVIDNet: A Framework of Deep Bayesian Optimization and Fusion-Assisted Optimal Deep Features for COVID-19 Classification Using Chest X-ray and MRI Scans

  • Ameer Hamza
  • , Muhammad Attique Khan
  • , Majed Alhaisoni
  • , Abdullah Al Hejaili
  • , Khalid Adel Shaban
  • , Shtwai Alsubai
  • , Areej Alasiry
  • , Mehrez Marzougui

Research output: Contribution to journal › Article › peer-review

34 Scopus citations

Fingerprint

Dive into the research topics of 'D2BOF-COVIDNet: A Framework of Deep Bayesian Optimization and Fusion-Assisted Optimal Deep Features for COVID-19 Classification Using Chest X-ray and MRI Scans'. Together they form a unique fingerprint.

Computer Science

Biochemistry, Genetics and Molecular Biology

Pharmacology, Toxicology and Pharmaceutical Science

Food Science

Chemical Engineering