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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Bibliographic Details
Main Authors: Yao-Mei Chen, Yenming J. Chen, Wen-Hsien Ho, Jinn-Tsong Tsai
Format: Article
Language:English
Published: BMC 2021-11-01
Series:BMC Bioinformatics
Subjects:
COVID-19
Chest computed tomography image
Convolutional neural network
Algorithm hyperparameter
Ensemble model
Online Access:https://doi.org/10.1186/s12859-021-04083-x

Internet

https://doi.org/10.1186/s12859-021-04083-x

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