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SCovNet: A skip connection-based feature union deep learning technique with statistical approach analysis for the detection of COVID-19
Abstract Background and Objective The global population has been heavily impacted by the
COVID-19 pandemic of coronavirus. Infections are spreading quickly around the world, and …
COVID-19 pandemic of coronavirus. Infections are spreading quickly around the world, and …
Enhancing CNN‐LSTM neural networks using jellyfish search algorithm for pandemic modeling
This paper presents a comprehensive three‐step approach (CNN‐JSO‐LSTM) for predictive
modeling using a pandemic such as COVID‐19 as a test case. Initially, a Convolutional …
modeling using a pandemic such as COVID‐19 as a test case. Initially, a Convolutional …
Empowering Diagnosis: A Review On Deep Learning Applications for COVID-19 and Pneumonia in X-Ray Images
The emergence of COVID-19, a highly contagious virus capable of infecting both the upper
and lower respiratory tracts, has led to one of the deadliest pandemics in modern history …
and lower respiratory tracts, has led to one of the deadliest pandemics in modern history …
[HTML][HTML] Convolutional neural network based on T-SPOT. TB assay promoting the discrimination between active tuberculosis and latent tuberculosis infection
Objectives The study aims to investigate the potential of convolutional neural network (CNN)
based on spot image of T-SPOT assay for distinguishing active tuberculosis (ATB) from …
based on spot image of T-SPOT assay for distinguishing active tuberculosis (ATB) from …
IFCnCov: An IoT‐based smart diagnostic architecture for COVID‐19
Performing a coronary disease diagnosis remotely is challenging now‐a‐days. COVID‐19 is
a worldwide pandemic, and methods for detecting COVID‐19 are hampered by insufficient …
a worldwide pandemic, and methods for detecting COVID‐19 are hampered by insufficient …
Exploring prediction of COVID-19 and its severity using machine learning
COVID-19 has crippled the lives of millions in the world and is continuously doing so without
any sight of relief. Even after the roll out of effective vaccines against COVID-19 and more …
any sight of relief. Even after the roll out of effective vaccines against COVID-19 and more …
Impact of Image Enhancement for Osteoporosis Detection Based on Deep Learning Algorithm
Osteoporosis can be defined as a degenerative disease with reduced bone mass and
changes in bone architecture that can lead to bone fragility and the risk of fractures. This …
changes in bone architecture that can lead to bone fragility and the risk of fractures. This …
Techniques for Automating the Prediction of COVID-19 Hospital Admission Risk
JM Landman - 2023 - search.proquest.com
Abstract Machine learning has catalyzed significant strides in improving the quality of
predictions regarding patient health. However, significant specific expertise is still required …
predictions regarding patient health. However, significant specific expertise is still required …
Detection of COVID-19 Using Medical Image Processing
RS Durga, I Akhil, A Bhavya Sri, R Lathish… - … on Advances in IoT and …, 2023 - Springer
Since the outbreak of COVID-19, several human life has been affected in many aspects and
witness huge death cases. Ultimately, the World Health Organization has declared COVID …
witness huge death cases. Ultimately, the World Health Organization has declared COVID …
[PDF][PDF] A review of medical image-based diagnosis of COVID-19
J Yu, S Yan, C Song, H Cui - zentimepublishing.com
The pandemic virus COVID-19 has caused hundreds of millions of infections and deaths,
resulting in enormous social and economic losses worldwide. As the virus strains continue …
resulting in enormous social and economic losses worldwide. As the virus strains continue …