AIMC Topic: COVID-19

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Deep Convolutional Neural Network Mechanism Assessment of COVID-19 Severity.

BioMed research international Aug 23, 2022
As an epidemic, COVID-19's core test instrument still has serious flaws. To improve the present condition, all capabilities and tools available in this field are being used to combat the pandemic. Because of the contagious characteristics of the uniq...
Radiography, Thoracic Humans Neural Networks, Computer Algorithms COVID-19 Deep Learning
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A novel hybrid approach for feature selection enhancement: COVID-19 case study.

Computer methods in biomechanics and biomedical engineering Aug 22, 2022
Feature selection is a promising Artificial Intelligence technique for screening, analysing, predicting, and tracking current COVID-19 patients and likely future patients. Significant applications are developed to track data of confirmed, recovered, ...
Humans COVID-19 Algorithms Artificial Intelligence
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Automated COVID-19 Classification Using Heap-Based Optimization with the Deep Transfer Learning Model.

Computational intelligence and neuroscience Aug 22, 2022
The outbreak of the COVID-19 pandemic necessitates prompt identification of affected persons to restrict the spread of the COVID-19 epidemic. Radiological imaging such as computed tomography (CT) and chest X-rays (CXR) is considered an effective way ...
Artificial Intelligence Pandemics Humans Neural Networks, Computer COVID-19 Deep Learning
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Multicenter Study on COVID-19 Lung Computed Tomography Segmentation with varying Glass Ground Opacities using Unseen Deep Learning Artificial Intelligence Paradigms: COVLIAS 1.0 Validation.

Journal of medical systems Aug 21, 2022
Variations in COVID-19 lesions such as glass ground opacities (GGO), consolidations, and crazy paving can compromise the ability of solo-deep learning (SDL) or hybrid-deep learning (HDL) artificial intelligence (AI) models in predicting automated COV...
Lung Deep Learning Humans Artificial Intelligence COVID-19 Tomography, X-Ray Computed
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HADCNet: Automatic segmentation of COVID-19 infection based on a hybrid attention dense connected network with dilated convolution.

Computers in biology and medicine Aug 20, 2022
the automatic segmentation of lung infections in CT slices provides a rapid and effective strategy for diagnosing, treating, and assessing COVID-19 cases. However, the segmentation of the infected areas presents several difficulties, including high i...
Humans COVID-19 Attention Deep Learning Image Processing, Computer-Assisted
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Exploring machine learning for audio-based respiratory condition screening: A concise review of databases, methods, and open issues.

Experimental biology and medicine (Maywood, N.J.) Aug 16, 2022
Auscultation plays an important role in the clinic, and the research community has been exploring machine learning (ML) to enable remote and automatic auscultation for respiratory condition screening via sounds. To give the big picture of what is goi...
Auscultation Machine Learning Humans Respiratory Sounds COVID-19 Artificial Intelligence
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Novel Crow Swarm Optimization Algorithm and Selection Approach for Optimal Deep Learning COVID-19 Diagnostic Model.

Computational intelligence and neuroscience Aug 13, 2022
Due to the COVID-19 pandemic, computerized COVID-19 diagnosis studies are proliferating. The diversity of COVID-19 models raises the questions of which COVID-19 diagnostic model should be selected and which decision-makers of healthcare organizations...
Deep Learning Humans COVID-19 Testing Pandemics Algorithms Crows COVID-19 Animals
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Analysis on COVID-19 Infection Spread Rate during Relief Schemes Using Graph Theory and Deep Learning.

Computational and mathematical methods in medicine Aug 12, 2022
The novel coronavirus 2019 (COVID-19) disease is a pandemic which affects thousands of people throughout the world. It has rapidly spread throughout India since the first case in India was reported on 30 January 2020. The official report says that to...
Humans Masks SARS-CoV-2 Pandemics Deep Learning COVID-19
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An Effective Deep Learning Model for Health Monitoring and Detection of COVID-19 Infected Patients: An End-to-End Solution.

Computational intelligence and neuroscience Aug 11, 2022
The COVID-19 infection is the greatest danger to humankind right now because of the devastation it causes to the lives of its victims. It is important that infected people be tested in a timely manner in order to halt the spread of the disease. Physi...
Mobile Applications Thorax Deep Learning Humans Neural Networks, Computer COVID-19
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Multiclass Classification for Detection of COVID-19 Infection in Chest X-Rays Using CNN.

Computational intelligence and neuroscience Aug 11, 2022
Coronavirus took the world by surprise and caused a lot of trouble in all the important fields in life. The complexity of dealing with coronavirus lies in the fact that it is highly infectious and is a novel virus which is hard to detect with exact p...
Pneumonia X-Rays Humans Neural Networks, Computer COVID-19 Deep Learning
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