DPDH-CapNet: A Novel Lightweight Capsule Network with Non-routing for COVID-19 Diagnosis Using X-ray Images.

Yuan, Jianjun; Wu, Fujun; Li, Yuxi; Li, Jinyi; Huang, Guojun; Huang, Quanyong

Yuan, Jianjun; Wu, Fujun; Li, Yuxi; Li, Jinyi; Huang, Guojun; Huang, Quanyong.

Afiliación

Yuan J; College of Artificial Intelligence, Southwest University, Chongqing, 40075, China. jianjuny@sina.com.
Wu F; College of Artificial Intelligence, Southwest University, Chongqing, 40075, China.
Li Y; College of Artificial Intelligence, Southwest University, Chongqing, 40075, China.
Li J; College of Artificial Intelligence, Southwest University, Chongqing, 40075, China.
Huang G; College of Artificial Intelligence, Southwest University, Chongqing, 40075, China.
Huang Q; College of Machinery and Automation, Wuhan University of Science and Technology, Heping Avenue No. 947, Wuhan, Hubei Province, 430091, China. huangguojun@swu.edu.cn.

J Digit Imaging ; 36(3): 988-1000, 2023 06.

Article en En | MEDLINE | ID: mdl-36813978

Asunto(s)

COVID-19; Humanos; COVID-19/diagnóstico por imagen; Prueba de COVID-19; Rayos X

Palabras clave

COVID-19; Capsule networks; Chest X-ray images; Homogeneous vector capsules

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: J Digit Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM / INFORMATICA MEDICA / RADIOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos

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