Automated detection of COVID-19 from CT scan using convolutional neural network

NK Mishra, P Singh, SD Joshi - Biocybernetics and biomedical engineering, 2021 - Elsevier
Under the prevailing circumstances of the global pandemic of COVID-19, early diagnosis
and accurate detection of COVID-19 through tests/screening and, subsequently, isolation of …

Detection of COVID-19 from CT and chest X-ray images using deep learning models

W Zouch, D Sagga, A Echtioui, R Khemakhem… - Annals of Biomedical …, 2022 - Springer
Abstract Coronavirus 2019 (COVID-19) is a highly transmissible and pathogenic virus
caused by severe respiratory syndrome coronavirus 2 (SARS-CoV-2), which first appeared …

A deep transfer learning-based convolution neural network model for COVID-19 detection using computed tomography scan images for medical applications

ND Kathamuthu, S Subramaniam, QH Le… - … in Engineering Software, 2023 - Elsevier
Abstract The Coronavirus (COVID-19) has become a critical and extreme epidemic because
of its international dissemination. COVID-19 is the world's most serious health, economic …

COVID-19: Automatic detection of the novel coronavirus disease from CT images using an optimized convolutional neural network

A Castiglione, P Vijayakumar, M Nappi… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
It is widely known that a quick disclosure of the COVID-19 can help to reduce its spread
dramatically. Transcriptase polymerase chain reaction could be a more useful, rapid, and …

Classifier fusion for detection of COVID-19 from CT scans

T Kaur, TK Gandhi - Circuits, systems, and signal processing, 2022 - Springer
Abstract The coronavirus disease (COVID-19) is an infectious disease caused by the SARS-
CoV-2 virus. COVID-19 is found to be the most infectious disease in last few decades. This …

Medical image-based detection of COVID-19 using deep convolution neural networks

L Gaur, U Bhatia, NZ Jhanjhi, G Muhammad… - Multimedia …, 2023 - Springer
The demand for automatic detection of Novel Coronavirus or COVID-19 is increasing across
the globe. The exponential rise in cases burdens healthcare facilities, and a vast amount of …

Detection and severity classification of COVID-19 in CT images using deep learning

Y Qiblawey, A Tahir, MEH Chowdhury, A Khandakar… - Diagnostics, 2021 - mdpi.com
Detecting COVID-19 at an early stage is essential to reduce the mortality risk of the patients.
In this study, a cascaded system is proposed to segment the lung, detect, localize, and …

Diagnosis of COVID-19 using CT scan images and deep learning techniques

V Shah, R Keniya, A Shridharani, M Punjabi, J Shah… - Emergency …, 2021 - Springer
Early diagnosis of the coronavirus disease in 2019 (COVID-19) is essential for controlling
this pandemic. COVID-19 has been spreading rapidly all over the world. There is no vaccine …

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 …

Initial stage COVID-19 detection system based on patients' symptoms and chest X-ray images

M Attaullah, M Ali, MF Almufareh, M Ahmad… - Applied Artificial …, 2022 - Taylor & Francis
The accurate diagnosis of the initial stage COVID-19 is necessary for minimizing its
spreading rate. The physicians most often recommend RT-PCR tests; this is invasive, time …