A Hybrid Deep Learning CNN model for COVID-19 detection from chest X-rays-Reference-Cited by-同舟云学术

A Hybrid Deep Learning CNN model for COVID-19 detection from chest X-rays

Published:2024-03 Issue:5 Volume:10 Page:e26938
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Abdullah Mohan,Abrha Ftsum berhe,Kedir Beshir,Tamirat Tagesse Takore

Publisher

Elsevier BV

Reference53 articles.

1. A new coronavirus associated with human respiratory disease in China;Wu;Nature,2020

2. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China;Huang;Lancet,2020

3. Pneumonia of unknown cause–China. Emergencies preparedness, response, disease outbreak news;World Health Organization;World Health Organization (WHO),2020

4. Characteristics of and important lessons from the coronavirus disease 2019 (COVID-19) outbreak in China: summary of a report of 72 314 cases from the Chinese Center for Disease Control and Prevention;Wu;JAMA,2020

5. Pulmonary pathology of ARDS in COVID-19: a pathological review for clinicians;Batah;Respir. Med.,2021

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2. Enhancing Pulmonary Diagnosis in Chest X-rays through Generative AI Techniques;J;2024-08-13

3. AMIKOMNET: Novel Structure for a Deep Learning Model to Enhance COVID-19 Classification Task Performance;Big Data and Cognitive Computing;2024-07-09

4. EO-CNN: Equilibrium Optimization-Based hyperparameter tuning for enhanced pneumonia and COVID-19 detection using AlexNet and DarkNet19;Biocybernetics and Biomedical Engineering;2024-07

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