AIMC Topic: COVID-19 Testing

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CXR-Net: A Multitask Deep Learning Network for Explainable and Accurate Diagnosis of COVID-19 Pneumonia From Chest X-Ray Images.

IEEE journal of biomedical and health informatics Feb 3, 2023
Accurate and rapid detection of COVID-19 pneumonia is crucial for optimal patient treatment. Chest X-Ray (CXR) is the first-line imaging technique for COVID-19 pneumonia diagnosis as it is fast, cheap and easily accessible. Currently, many deep learn...
Humans COVID-19 Thorax X-Rays Pneumonia, Viral Deep Learning COVID-19 Testing
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PneuNet: deep learning for COVID-19 pneumonia diagnosis on chest X-ray image analysis using Vision Transformer.

Medical & biological engineering & computing Jan 31, 2023
A long-standing challenge in pneumonia diagnosis is recognizing the pathological lung texture, especially the ground-glass appearance pathological texture. One main difficulty lies in precisely extracting and recognizing the pathological features. Th...
X-Rays Humans COVID-19 Algorithms Deep Learning SARS-CoV-2 Pneumonia COVID-19 Testing
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CNN-RNN Network Integration for the Diagnosis of COVID-19 Using Chest X-ray and CT Images.

Sensors (Basel, Switzerland) Jan 25, 2023
The 2019 coronavirus disease (COVID-19) has rapidly spread across the globe. It is crucial to identify positive cases as rapidly as humanely possible to provide appropriate treatment for patients and prevent the pandemic from spreading further. Both ...
SARS-CoV-2 Deep Learning COVID-19 Tomography, X-Ray Computed X-Rays Pneumonia COVID-19 Testing Humans Neural Networks, Computer
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Classification of COVID-19 from community-acquired pneumonia: Boosting the performance with capsule network and maximum intensity projection image of CT scans.

Computers in biology and medicine Jan 23, 2023
BACKGROUND: The coronavirus disease 2019 (COVID-19) and community-acquired pneumonia (CAP) present a high degree of similarity in chest computed tomography (CT) images. Therefore, a procedure for accurately and automatically distinguishing between th...
Humans COVID-19 SARS-CoV-2 Deep Learning Tomography, X-Ray Computed Pneumonia COVID-19 Testing
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Comparison of the Diagnostic Performance of Deep Learning Algorithms for Reducing the Time Required for COVID-19 RT-PCR Testing.

Viruses Jan 22, 2023
(1) Background: Rapid and accurate negative discrimination enables efficient management of scarce isolated bed resources and adequate patient accommodation in the majority of areas experiencing an explosion of confirmed cases due to Omicron mutations...
Deep Learning COVID-19 COVID-19 Nucleic Acid Testing Humans COVID-19 Testing Algorithms Artificial Intelligence
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COVID-19 Classification on Chest X-ray Images Using Deep Learning Methods.

International journal of environmental research and public health Jan 22, 2023
Since December 2019, the coronavirus disease has significantly affected millions of people. Given the effect this disease has on the pulmonary systems of humans, there is a need for chest radiographic imaging (CXR) for monitoring the disease and prev...
Thorax X-Rays Deep Learning COVID-19 Testing Humans COVID-19
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MT-nCov-Net: A Multitask Deep-Learning Framework for Efficient Diagnosis of COVID-19 Using Tomography Scans.

IEEE transactions on cybernetics Jan 13, 2023
The localization and segmentation of the novel coronavirus disease of 2019 (COVID-19) lesions from computerized tomography (CT) scans are of great significance for developing an efficient computer-aided diagnosis system. Deep learning (DL) has emerge...
COVID-19 Testing Humans Deep Learning COVID-19 Image Processing, Computer-Assisted SARS-CoV-2 Tomography, X-Ray Computed Diagnosis, Computer-Assisted
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Research on the Application of Artificial Intelligence in Public Health Management: Leveraging Artificial Intelligence to Improve COVID-19 CT Image Diagnosis.

International journal of environmental research and public health Jan 9, 2023
Since the start of 2020, the outbreak of the Coronavirus disease (COVID-19) has been a global public health emergency, and it has caused unprecedented economic and social disaster. In order to improve the diagnosis efficiency of COVID-19 patients, a ...
Tomography, X-Ray Computed SARS-CoV-2 COVID-19 Testing Public Health Artificial Intelligence COVID-19 Humans
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Intelligent speech technologies for transcription, disease diagnosis, and medical equipment interactive control in smart hospitals: A review.

Computers in biology and medicine Jan 5, 2023
The growing and aging of the world population have driven the shortage of medical resources in recent years, especially during the COVID-19 pandemic. Fortunately, the rapid development of robotics and artificial intelligence technologies help to adap...
COVID-19 Speech Artificial Intelligence Pandemics Robotics COVID-19 Testing Humans
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LDDNet: A Deep Learning Framework for the Diagnosis of Infectious Lung Diseases.

Sensors (Basel, Switzerland) Jan 2, 2023
This paper proposes a new deep learning (DL) framework for the analysis of lung diseases, including COVID-19 and pneumonia, from chest CT scans and X-ray (CXR) images. This framework is termed optimized DenseNet201 for lung diseases (LDDNet). The pro...
Humans COVID-19 Algorithms Tomography, X-Ray Computed Pneumonia Deep Learning COVID-19 Testing
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