A hybrid convolutional neural network model to detect COVID‐19 and pneumonia using chest X‐ray images
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22829
Abstract: A hybrid convolutional neural network (CNN)‐based model is proposed in the article for accurate detection of COVID‐19, pneumonia, and normal patients using chest X‐ray images. The input images are first pre‐processed to tackle problems associated… read more here.
Keywords: neural network; covid pneumonia; hybrid convolutional; convolutional neural ... See more keywords
Machine learning automatically detects COVID-19 using chest CTs in a large multicenter cohort
Sign Up to like & getrecommendations! Published in 2021 at "European Radiology"
DOI: 10.1007/s00330-021-07937-3
Abstract: To investigate machine learning classifiers and interpretable models using chest CT for detection of COVID-19 and differentiation from other pneumonias, interstitial lung disease (ILD) and normal CTs. Our retrospective multi-institutional study obtained 2446 chest CTs… read more here.
Keywords: classification; machine learning; chest cts; using chest ... See more keywords
Deep Transfer Learning for COVID-19 Detection and Lesion Recognition Using Chest CT Images
Sign Up to like & getrecommendations! Published in 2022 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2022/4509394
Abstract: Starting from December 2019, the global pandemic of coronavirus disease 2019 (COVID-19) is continuously expanding and has caused several millions of deaths worldwide. Fast and accurate diagnostic methods for COVID-19 detection play a vital role… read more here.
Keywords: learning; covid; chest images; using chest ... See more keywords
Automated detection of COVID-19 through convolutional neural network using chest x-ray images
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DOI: 10.1371/journal.pone.0262052
Abstract: The COVID-19 epidemic has a catastrophic impact on global well-being and public health. More than 27 million confirmed cases have been reported worldwide until now. Due to the growing number of confirmed cases, and challenges… read more here.
Keywords: covid; detection covid; using chest; classification ... See more keywords
Feature-level ensemble approach for COVID-19 detection using chest X-ray images
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DOI: 10.1371/journal.pone.0268430
Abstract: Severe acute respiratory syndrome coronavirus 2 (SARS CoV-2), also known as the coronavirus disease 2019 (COVID-19), has threatened many human beings around the world and capsized economies at unprecedented magnitudes. Therefore, the detection of this… read more here.
Keywords: covid; ensemble approach; detection; chest ray ... See more keywords
D2BOF-COVIDNet: A Framework of Deep Bayesian Optimization and Fusion-Assisted Optimal Deep Features for COVID-19 Classification Using Chest X-ray and MRI Scans
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DOI: 10.3390/diagnostics13010101
Abstract: Background and Objective: In 2019, a corona virus disease (COVID-19) was detected in China that affected millions of people around the world. On 11 March 2020, the WHO declared this disease a pandemic. Currently, more… read more here.
Keywords: bayesian optimization; classification; framework; chest ray ... See more keywords
New Method of Cardiac Lead Evaluation Using Chest Radiography
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DOI: 10.3390/medicina58020222
Abstract: Background and Objectives: There is currently no method that can be used for a precise evaluation of pacemaker leads using X-ray images, which could be a valuable add-on in the follow-up of patients. The aim… read more here.
Keywords: evaluation; ray; chest radiography; method ... See more keywords