[HTML][HTML] A systematic review on deep structured learning for COVID-19 screening using chest CT from 2020 to 2022
KC Santosh, D GhoshRoy, S Nakarmi - Healthcare, 2023 - mdpi.com
The emergence of the COVID-19 pandemic in Wuhan in 2019 led to the discovery of a novel
coronavirus. The World Health Organization (WHO) designated it as a global pandemic on …
coronavirus. The World Health Organization (WHO) designated it as a global pandemic on …
Ensemble deep learning and internet of things‐based automated COVID‐19 diagnosis framework
AS Kini, AN Gopal Reddy, M Kaur… - Contrast Media & …, 2022 - Wiley Online Library
Coronavirus disease (COVID‐19) is a viral infection caused by SARS‐CoV‐2. The
modalities such as computed tomography (CT) have been successfully utilized for the early …
modalities such as computed tomography (CT) have been successfully utilized for the early …
[HTML][HTML] A comprehensive review of COVID-19 detection with machine learning and deep learning techniques
Purpose The first transmission of coronavirus to humans started in Wuhan city of China, took
the shape of a pandemic called Corona Virus Disease 2019 (COVID-19), and posed a …
the shape of a pandemic called Corona Virus Disease 2019 (COVID-19), and posed a …
COVID-19 detection from CT scans using a two-stage framework
Abstract Coronavirus disease 2019 (COVID-19) is a contagious disease caused by severe
acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It may cause serious ailments in …
acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It may cause serious ailments in …
A wavelet-based deep learning pipeline for efficient COVID-19 diagnosis via CT slices
O Attallah, A Samir - Applied Soft Computing, 2022 - Elsevier
The quick diagnosis of the novel coronavirus (COVID-19) disease is vital to prevent its
propagation and improve therapeutic outcomes. Computed tomography (CT) is believed to …
propagation and improve therapeutic outcomes. Computed tomography (CT) is believed to …
COVID-19 detection from lung CT-Scans using a fuzzy integral-based CNN ensemble
The COVID-19 pandemic has collapsed the public healthcare systems, along with severely
damaging the economy of the world. The SARS-CoV-2 virus also known as the coronavirus …
damaging the economy of the world. The SARS-CoV-2 virus also known as the coronavirus …
[HTML][HTML] Automated COVID-19 detection with convolutional neural networks
A Dumakude, AE Ezugwu - Scientific Reports, 2023 - nature.com
This paper focuses on addressing the urgent need for efficient and accurate automated
screening tools for COVID-19 detection. Inspired by existing research efforts, we propose …
screening tools for COVID-19 detection. Inspired by existing research efforts, we propose …
A computer-aided diagnostic framework for coronavirus diagnosis using texture-based radiomics images
O Attallah - Digital Health, 2022 - journals.sagepub.com
The accurate and rapid detection of the novel coronavirus infection, coronavirus is very
important to prevent the fast spread of such disease. Thus, reducing negative effects that …
important to prevent the fast spread of such disease. Thus, reducing negative effects that …
Auto-MyIn: Automatic diagnosis of myocardial infarction via multiple GLCMs, CNNs, and SVMs
O Attallah, DA Ragab - Biomedical Signal Processing and Control, 2023 - Elsevier
This paper proposes an automated diagnostic tool namely, Auto-MyIn, for diagnosing
myocardial infarction (MI) using multiple convolutional neural networks (CNN). Rather than …
myocardial infarction (MI) using multiple convolutional neural networks (CNN). Rather than …
[HTML][HTML] Towards interpretable deep learning: a feature selection framework for prognostics and health management using deep neural networks
In the last five years, the inclusion of Deep Learning algorithms in prognostics and health
management (PHM) has led to a performance increase in diagnostics, prognostics, and …
management (PHM) has led to a performance increase in diagnostics, prognostics, and …