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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Detalles Bibliográficos
Autores principales: Chen, Yao-Mei, Chen, Yenming J., Ho, Wen-Hsien, Tsai, Jinn-Tsong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8574139/
https://www.ncbi.nlm.nih.gov/pubmed/34749629
http://dx.doi.org/10.1186/s12859-021-04083-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8574139/
https://www.ncbi.nlm.nih.gov/pubmed/34749629
http://dx.doi.org/10.1186/s12859-021-04083-x

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