Classifying chest CT images as COVID-19 positive/negative using a convolutional neural network ensemble model and uniform experimental design method

Classifying chest CT images as COVID-19 positive/negative using a convolutional neural network ensemble model and uniform experimental design method

Background: To classify chest computed tomography (CT) images as positive or negative for coronavirus disease 2019 (COVID-19) quickly and accurately, researchers attempted to develop effective models by using medical images. Results: A convolutional neural network (CNN) ensemble model was developed...

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Bibliographic Details
Main Authors: Chen, Y.J (Author), Chen, Y.-M (Author), Ho, W.-H (Author), Tsai, J.-T (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
Algorithm hyperparameter
Chest computed tomography image
Computed tomography images
Computerized tomography
Convolution
Convolutional neural network
Convolutional neural networks
Coronavirus
Coronavirus disease 2019
Coronaviruses
COVID-19
Deep Learning
Ensemble model
Ensemble models
human
Humans
Hyper-parameter
Image classification
Medical imaging
methodology
Neural network model
Neural network's ensemble
Neural Networks, Computer
Research Design
SARS-CoV-2
Statistics
Tomography, X-Ray Computed
x-ray computed tomography
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