COVID-DeepNet: hybrid multimodal deep learning system for improving COVID-19 pneumonia detection in chest X-ray images
AS Al-Waisy, MA Mohammed… - Computers …, 2021 - scholars.cityu.edu.hk
Abstract Coronavirus (COVID-19) epidemic outbreak has devastating effects on daily lives
and healthcare systems worldwide. This newly recognized virus is highly transmissible, and …
and healthcare systems worldwide. This newly recognized virus is highly transmissible, and …
COVID-CheXNet: hybrid deep learning framework for identifying COVID-19 virus in chest X-rays images
AS Al-Waisy, S Al-Fahdawi, MA Mohammed… - Soft computing, 2023 - Springer
The outbreaks of Coronavirus (COVID-19) epidemic have increased the pressure on
healthcare and medical systems worldwide. The timely diagnosis of infected patients is a …
healthcare and medical systems worldwide. The timely diagnosis of infected patients is a …
CoviXNet: A novel and efficient deep learning model for detection of COVID-19 using chest X-Ray images
G Srivastava, A Chauhan, M Jangid… - … Signal Processing and …, 2022 - Elsevier
Abstract The Coronavirus (COVID-19) pandemic has created havoc on humanity by causing
millions of deaths and adverse physical and mental health effects. To prepare humankind for …
millions of deaths and adverse physical and mental health effects. To prepare humankind for …
COVIDetection-Net: A tailored COVID-19 detection from chest radiography images using deep learning
AS Elkorany, ZF Elsharkawy - Optik, 2021 - Elsevier
In this study, a medical system based on Deep Learning (DL) which we called
“COVIDetection-Net” is proposed for automatic detection of new corona virus disease 2019 …
“COVIDetection-Net” is proposed for automatic detection of new corona virus disease 2019 …
COVID-XNet: A custom deep learning system to diagnose and locate COVID-19 in chest X-ray images
L Duran-Lopez, JP Dominguez-Morales… - Applied Sciences, 2020 - mdpi.com
Featured Application This work could be used to aid radiologists in the screening process,
contributing to the fight against COVID-19. Abstract The COVID-19 pandemic caused by the …
contributing to the fight against COVID-19. Abstract The COVID-19 pandemic caused by the …
FocusCovid: automated COVID-19 detection using deep learning with chest X-ray images
T Agrawal, P Choudhary - Evolving Systems, 2022 - Springer
COVID-19 is an acronym for coronavirus disease 2019. Initially, it was called 2019-nCoV,
and later International Committee on Taxonomy of Viruses (ICTV) termed it SARS-CoV-2. On …
and later International Committee on Taxonomy of Viruses (ICTV) termed it SARS-CoV-2. On …
The multimodal deep learning for diagnosing COVID-19 pneumonia from chest CT-scan and X-ray images
N Hilmizen, A Bustamam… - 2020 3rd international …, 2020 - ieeexplore.ieee.org
Due to the COVID-19 Pandemic, doctors need to make medical decisions for their patients
based on many examinations (eg, polymerase chain reaction test, temperature test, CT …
based on many examinations (eg, polymerase chain reaction test, temperature test, CT …
Deep learning-based approach for detecting COVID-19 in chest X-rays
ME Sahin - Biomedical Signal Processing and Control, 2022 - Elsevier
Abstract Today, 2019 Coronavirus (COVID-19) infections are a major health concern
worldwide. Therefore, detecting COVID-19 in X-ray images is crucial for diagnosis …
worldwide. Therefore, detecting COVID-19 in X-ray images is crucial for diagnosis …
Detection of COVID-19 cases through X-ray images using hybrid deep neural network
Purpose The latest 2019 coronavirus (COVID-2019), which first appeared in December
2019 in Wuhan's city in China, rapidly spread around the world and became a pandemic. It …
2019 in Wuhan's city in China, rapidly spread around the world and became a pandemic. It …
[HTML][HTML] Deep convolutional neural network–based computer-aided detection system for COVID-19 using multiple lung scans: design and implementation study
Background Owing to the COVID-19 pandemic and the imminent collapse of health care
systems following the exhaustion of financial, hospital, and medicinal resources, the World …
systems following the exhaustion of financial, hospital, and medicinal resources, the World …