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

Abstract 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 dev...

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Detalles Bibliográficos
Autores principales: Yao-Mei Chen, Yenming J. Chen, Wen-Hsien Ho, Jinn-Tsong Tsai
Formato: article
Lenguaje:EN
Publicado: BMC 2021
Materias:
COVID-19
Chest computed tomography image
Convolutional neural network
Algorithm hyperparameter
Ensemble model
Computer applications to medicine. Medical informatics
R858-859.7
Biology (General)
QH301-705.5
Acceso en línea:https://doaj.org/article/5ecac0b838334af486386455fe7e5523
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https://doaj.org/article/5ecac0b838334af486386455fe7e5523

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