GSA-DenseNet121-COVID-19: a Hybrid Deep Learning Architecture for the Diagnosis of COVID-19 Disease based on Gravitational Search Optimization Algorithm

04/09/2020
by   Dalia Ezzat, et al.
30

In this paper, a novel approach called GSA-DenseNet121-COVID-19 based on a hybrid convolutional neural network (CNN) architecture is proposed using an optimization algorithm. The CNN architecture that was used is called DenseNet121 and the optimization algorithm that was used is called the gravitational search algorithm (GSA). The GSA is adapted to determine the best values for the hyperparameters of the DenseNet121 architecture, and to achieve a high level of accuracy in diagnosing COVID-19 disease through chest x-ray image analysis. The obtained results showed that the proposed approach was able to correctly classify 98 setting the optimum values for the hyperparameters of DenseNet121, it was compared to another optimization algorithm called social ski driver (SSD). The comparison results demonstrated the efficacy of the proposed GSA-DenseNet121-COVID-19 and its ability to better diagnose COVID-19 disease than the SSD-DenseNet121 as the second was able to diagnose only 94 test set. As well as, the proposed approach was compared to an approach based on a CNN architecture called Inception-v3 and the manual search method for determining the values of the hyperparameters. The results of the comparison showed that the GSA-DenseNet121 was able to beat the other approach, as the second was able to classify only 95

READ FULL TEXT

page 3

page 15

page 17

page 20

page 24

research
03/15/2021

Fused Deep Features Based Classification Framework for COVID-19 Classification with Optimized MLP

The new type of Coronavirus disease called COVID-19 continues to spread ...
research
12/26/2022

Diagnosis of COVID-19 based on Chest Radiography

The Coronavirus disease 2019 (COVID-19) was first identified in Wuhan, C...
research
12/15/2021

COVID-19 Electrocardiograms Classification using CNN Models

With the periodic rise and fall of COVID-19 and numerous countries being...
research
05/14/2021

Real-Time COVID-19 Diagnosis from X-Ray Images Using Deep CNN and Extreme Learning Machines Stabilized by Chimp Optimization Algorithm

Real-time detection of COVID-19 using radiological images has gained pri...
research
05/01/2020

An Adaptive Enhancement Based Hybrid CNN Model for Digital Dental X-ray Positions Classification

Analysis of dental radiographs is an important part of the diagnostic pr...
research
03/30/2020

Coronavirus Optimization Algorithm: A bioinspired metaheuristic based on the COVID-19 propagation model

A novel bioinspired metaheuristic is proposed in this work, simulating h...
research
05/14/2021

Evolving Deep Convolutional Neural Network by Hybrid Sine-Cosine and Extreme Learning Machine for Real-time COVID19 Diagnosis from X-Ray Images

The COVID19 pandemic globally and significantly has affected the life an...

Please sign up or login with your details

Forgot password? Click here to reset