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Automated detection and forecasting of covid-19 using deep learning techniques: A review
Abstract In March 2020, the World Health Organization (WHO) declared COVID-19 a global
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …
A review of predictive and contrastive self-supervised learning for medical images
WC Wang, E Ahn, D Feng, J Kim - Machine Intelligence Research, 2023 - Springer
Over the last decade, supervised deep learning on manually annotated big data has been
progressing significantly on computer vision tasks. But, the application of deep learning in …
progressing significantly on computer vision tasks. But, the application of deep learning in …
Generative adversarial network based data augmentation for CNN based detection of Covid-19
Covid-19 has been a global concern since 2019, crippling the world economy and health.
Biological diagnostic tools have since been developed to identify the virus from bodily fluids …
Biological diagnostic tools have since been developed to identify the virus from bodily fluids …
Weed classification from natural corn field-multi-plant images based on shallow and deep learning
Crop and weed discrimination in natural field environments is still challenging for
implementing automatic agricultural practices, such as weed control. Some weed control …
implementing automatic agricultural practices, such as weed control. Some weed control …
[HTML][HTML] Machine learning, deep learning, and mathematical models to analyze forecasting and epidemiology of COVID-19: a systematic literature review
COVID-19 is a disease caused by SARS-CoV-2 and has been declared a worldwide
pandemic by the World Health Organization due to its rapid spread. Since the first case was …
pandemic by the World Health Organization due to its rapid spread. Since the first case was …
COVID-19 classification using chest X-ray images: A framework of CNN-LSTM and improved max value moth flame optimization
Coronavirus disease 2019 (COVID-19) is a highly contagious disease that has claimed the
lives of millions of people worldwide in the last 2 years. Because of the disease's rapid …
lives of millions of people worldwide in the last 2 years. Because of the disease's rapid …
Covid-19net: An effective and robust approach for covid-19 detection using ensemble of convnet-24 and customized pre-trained models
The Coronavirus is extremely harmful to human lungs, and hence early detection is critical to
prevent the virus from spreading. However, the cumulative workflow in the routine diagnostic …
prevent the virus from spreading. However, the cumulative workflow in the routine diagnostic …
A CNN‐Based Chest Infection Diagnostic Model: A Multistage Multiclass Isolated and Developed Transfer Learning Framework
In 2019, a deadly coronaviral infection (COVID‐19) that infected millions of people globally
was detected in China. This fatal virus affects the respiratory system and currently spreads to …
was detected in China. This fatal virus affects the respiratory system and currently spreads to …
Contribution to pulmonary diseases diagnostic from X-ray images using innovative deep learning models
Pulmonary disease identification and characterization are among the most intriguing
research topics of recent years since they require an accurate and prompt diagnosis …
research topics of recent years since they require an accurate and prompt diagnosis …
Employing Transfer Learning for Diagnosing COVID-19 Disease.
Corona virus's correct and accurate diagnosis is the most important reason for contributing
to the treatment of this disease. Radiography is one of the simplest methods to detect virus …
to the treatment of this disease. Radiography is one of the simplest methods to detect virus …