A Novel Fusion Model of Hand-Crafted Features With Deep Convolutional Neural Networks for Classification of Several Chest Diseases Using X-Ray Images-Reference-Cited by-同舟云学术

A Novel Fusion Model of Hand-Crafted Features With Deep Convolutional Neural Networks for Classification of Several Chest Diseases Using X-Ray Images

Published:2023 Issue: Volume:11 Page:39243-39268
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Malik Hassaan¹^ORCID,Anees Tayyaba²^ORCID,Chaudhry Muhammad Umar³^ORCID,Gono Radomir⁴^ORCID,Jasiński Michał⁴^ORCID,Leonowicz Zbigniew⁴^ORCID,Bernat Petr¹^ORCID

Affiliation:

1. Department of Computer Science, School of Systems and Technology, University of Management and Technology, Lahore, Pakistan

2. Department of Software Engineering, School of Systems and Technology, University of Management and Technology, Lahore, Pakistan

3. Department of Computer Science, MNS-University of Agriculture, Multan, Pakistan

4. Department of Electrical Power Engineering, Faculty of Electrical Engineering and Computer Science, VSB–Technical University of Ostrava, Ostrava, Czech Republic

Funder

SGS Grant from the VSB–Technical University of Ostrava

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10103528.pdf?arnumber=10103528

Reference78 articles.

1. Classification of COVID-19 chest X-rays with deep learning: new models or fine tuning?

2. COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images

3. A novel hand-crafted with deep learning features based fusion model for COVID-19 diagnosis and classification using chest X-ray images

4. Application of deep learning techniques for detection of COVID-19 cases using chest X-ray images: A comprehensive study

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