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COVID-19 image classification using deep learning: Advances, challenges and opportunities
Abstract Corona Virus Disease-2019 (COVID-19), caused by Severe Acute Respiratory
Syndrome-Corona Virus-2 (SARS-CoV-2), is a highly contagious disease that has affected …
Syndrome-Corona Virus-2 (SARS-CoV-2), is a highly contagious disease that has affected …
Viral outbreaks detection and surveillance using wastewater-based epidemiology, viral air sampling, and machine learning techniques: A comprehensive review and …
A viral outbreak is a global challenge that affects public health and safety. The coronavirus
disease 2019 (COVID-19) has been spreading globally, affecting millions of people …
disease 2019 (COVID-19) has been spreading globally, affecting millions of people …
Design and analysis of a deep learning ensemble framework model for the detection of COVID-19 and pneumonia using large-scale CT scan and X-ray image …
Recently, various methods have been developed to identify COVID-19 cases, such as PCR
testing and non-contact procedures such as chest X-rays and computed tomography (CT) …
testing and non-contact procedures such as chest X-rays and computed tomography (CT) …
Machine learning-based research for COVID-19 detection, diagnosis, and prediction: A survey
The year 2020 experienced an unprecedented pandemic called COVID-19, which impacted
the whole world. The absence of treatment has motivated research in all fields to deal with it …
the whole world. The absence of treatment has motivated research in all fields to deal with it …
Covid-MANet: Multi-task attention network for explainable diagnosis and severity assessment of COVID-19 from CXR images
The devastating outbreak of Coronavirus Disease (COVID-19) cases in early 2020 led the
world to face health crises. Subsequently, the exponential reproduction rate of COVID-19 …
world to face health crises. Subsequently, the exponential reproduction rate of COVID-19 …
An IoT-based deep learning framework for early assessment of COVID-19
Advancement in the Internet of Medical Things (IoMT), along with machine learning, deep
learning, and artificial intelligence techniques, initiated a world of possibilities in healthcare …
learning, and artificial intelligence techniques, initiated a world of possibilities in healthcare …
Review and classification of AI-enabled COVID-19 CT imaging models based on computer vision tasks
This article presents a systematic overview of artificial intelligence (AI) and computer vision
strategies for diagnosing the coronavirus disease of 2019 (COVID-19) using computerized …
strategies for diagnosing the coronavirus disease of 2019 (COVID-19) using computerized …
COVID-19 detection in chest X-ray images using a new channel boosted CNN
COVID-19 is a respiratory illness that has affected a large population worldwide and
continues to have devastating consequences. It is imperative to detect COVID-19 at the …
continues to have devastating consequences. It is imperative to detect COVID-19 at the …
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 …
Integrating digital twins and deep learning for medical image analysis in the era of COVID-19
Background Digital twins are virtual representations of devices and processes that capture
the physical properties of the environment and operational algorithms/techniques in the …
the physical properties of the environment and operational algorithms/techniques in the …