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

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1471-2105

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Classifying chest CT images as COVID-19 positive/negative using a convolutional neural network ensemble model and uniform experimental design method ; volume:22 ; number:5 ; day:8 ; month:11 ; year:2021 ; pages:1-19 ; date:11.2021
BMC bioinformatics ; 22, Heft 5 (8.11.2021), 1-19, 11.2021

Creator: Chen, Yao-Mei
Chen, Yenming J.
Ho, Wen-Hsien
Tsai, Jinn-Tsong

Contributor: SpringerLink (Online service)

DOI: 10.1186/s12859-021-04083-x

URN: urn:nbn:de:101:1-2022012120182293829832

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:28 AM CEST

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Chen, Yao-Mei
Chen, Yenming J.
Ho, Wen-Hsien
Tsai, Jinn-Tsong
SpringerLink (Online service)

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

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