[HTML][HTML] A review of deep learning-based detection methods for COVID-19
COVID-19 is a fast-spreading pandemic, and early detection is crucial for stopping the
spread of infection. Lung images are used in the detection of coronavirus infection. Chest X …
spread of infection. Lung images are used in the detection of coronavirus infection. Chest X …
Detection of Covid-19 and other pneumonia cases from CT and X-ray chest images using deep learning based on feature reuse residual block and depthwise dilated …
G Celik - Applied Soft Computing, 2023 - Elsevier
Covid-19 has become a worldwide epidemic which has caused the death of millions in a
very short time. This disease, which is transmitted rapidly, has mutated and different …
very short time. This disease, which is transmitted rapidly, has mutated and different …
Efficacy of Transfer Learning-based ResNet models in Chest X-ray image classification for detecting COVID-19 Pneumonia
Because of COVID-19's effect on pulmonary tissues, Chest X-ray (CXR) and Computed
Tomography (CT) images have become the preferred imaging modality for detecting COVID …
Tomography (CT) images have become the preferred imaging modality for detecting COVID …
[HTML][HTML] Epidemiologic and clinical updates on viral infections in Saudi Arabia
NM Alshiban, MS Aleyiydi, MS Nassar… - Saudi Pharmaceutical …, 2024 - Elsevier
In the past two decades, the world has witnessed devastating pandemics affecting the global
healthcare infrastructure and disrupting society and the economy worldwide. Among all …
healthcare infrastructure and disrupting society and the economy worldwide. Among all …
Multimodal deep learning model for Covid-19 detection
FY Issahaku, X Liu, K Lu, X Fang, SB Danwana… - … Signal Processing and …, 2024 - Elsevier
This study introduces a novel multimodal deep learning model for detecting Covid-19,
uniquely combining chest X-ray images and cough sound features. We incorporated an …
uniquely combining chest X-ray images and cough sound features. We incorporated an …
[HTML][HTML] A robust framework for epidemic analysis, prediction and detection of COVID-19
Covid-19 has become a pandemic that affects lots of individuals daily, worldwide, and,
particularly, the widespread disruption in numerous countries, namely, the US, Italy, India …
particularly, the widespread disruption in numerous countries, namely, the US, Italy, India …
[HTML][HTML] Deep learning based COVID-19 detection via hard voting ensemble method
AQ Shareef, S Kurnaz - Wireless Personal Communications, 2023 - Springer
Healthcare systems throughout the world are under a great deal of strain because to the
continuing COVID-19 epidemic, making early and precise diagnosis critical for limiting the …
continuing COVID-19 epidemic, making early and precise diagnosis critical for limiting the …
[HTML][HTML] Detection of multiple waves for COVID-19 and its optimal control through media awareness and vaccination: study based on some Indian states
COVID-19 is a highly infectious disease, and in very recent times, it has shown a massive
impact throughout the globe. Several countries faced the COVID-19 infection waves multiple …
impact throughout the globe. Several countries faced the COVID-19 infection waves multiple …
[HTML][HTML] A Large-Scale Dataset of Search Interests Related to Disease X Originating from Different Geographic Regions
The World Health Organization (WHO) added Disease X to their shortlist of blueprint priority
diseases to represent a hypothetical, unknown pathogen that could cause a future epidemic …
diseases to represent a hypothetical, unknown pathogen that could cause a future epidemic …
Diagnosis of COVID-19 from X-ray images using deep learning techniques
MMM Alghamdi, MYH Dahab - Cogent Engineering, 2022 - Taylor & Francis
In this study, we searched for the latest literature on the use of deep learning applications to
combat COVID-19 and these were identified from several search engines including IEEE …
combat COVID-19 and these were identified from several search engines including IEEE …