A hybridized feature extraction for COVID-19 multi-class classification on computed tomography images-Reference-Cited by-同舟云学术

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A hybridized feature extraction for COVID-19 multi-class classification on computed tomography images

Published:2024-03 Issue:5 Volume:10 Page:e26939
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Abubakar Hassana,Al-Turjman Fadi,Ameen Zubaida S.,Mubarak Auwalu S.,Altrjman Chadi

Publisher

Elsevier BV

Reference43 articles.

1. World Health Organization (WHO) coronavirus (COVID-19) Dashboard;World Heal Organ URL,2022

2. Features, Evaluation, and Treatment of Coronavirus (COVID-19);Cascella,2022

3. Coronavirus Disease (COVID-19): a primer for emergency physicians;Chavez;Am. J. Emerg. Med.,2021

4. CT imaging features of patients infected with 2019 novel coronavirus;Yao;BIO Integr,2021

5. The value of CT imaging for COVID-19 pneumonia: report of a false-negative nucleic acid test case;Lu;J. Thorac. Dis.,2020

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1. DeepChestGNN: A Comprehensive Framework for Enhanced Lung Disease Identification through Advanced Graphical Deep Features;Sensors;2024-04-29

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