D<sup>2</sup>BOF-COVIDNet: A Framework of Deep Bayesian Optimization and Fusion-Assisted Optimal Deep Features for COVID-19 Classification Using Chest X-ray and MRI Scans

D<sup>2</sup>BOF-COVIDNet: A Framework of Deep Bayesian Optimization and Fusion-Assisted Optimal Deep Features for COVID-19 Classification Using Chest X-ray and MRI Scans

Background and Objective: In 2019, a corona virus disease (COVID-19) was detected in China that affected millions of people around the world. On 11 March 2020, the WHO declared this disease a pandemic. Currently, more than 200 countries in the world have been affected by this disease. The manual dia...

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Bibliographic Details
Main Authors: Ameer Hamza, Muhammad Attique Khan, Majed Alhaisoni, Abdullah Al Hejaili, Khalid Adel Shaban, Shtwai Alsubai, Areej Alasiry, Mehrez Marzougui
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Diagnostics
Subjects:
COVID-19
deep learning
Bayesian optimization
fusion
optimization
neural network
Online Access:https://www.mdpi.com/2075-4418/13/1/101

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