COVID-19 Diagnosis from Chest X-ray Images Using a Robust Multi-Resolution Analysis Siamese Neural Network with Super-Resolution Convolutional Neural Network.

Monday, Happy Nkanta; Li, Jianping; Nneji, Grace Ugochi; Nahar, Saifun; Hossin, Md Altab; Jackson, Jehoiada; Ejiyi, Chukwuebuka Joseph

Monday, Happy Nkanta; Li, Jianping; Nneji, Grace Ugochi; Nahar, Saifun; Hossin, Md Altab; Jackson, Jehoiada; Ejiyi, Chukwuebuka Joseph.

Afiliación

Monday HN; School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
Li J; School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
Nneji GU; School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
Nahar S; Department of Information System and Technology, University of Missouri-St. Louis, St. Louis, MO 63121, USA.
Hossin MA; School of Management and Economics, University of Electronic Science and Technology of China, Chengdu 611731, China.
Jackson J; School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
Ejiyi CJ; School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.

Diagnostics (Basel) ; 12(3)2022 Mar 18.

Article en En | MEDLINE | ID: mdl-35328294

Palabras clave

COVID-19; Siamese network; chest X-ray (CXR); convolutional neural network; multi-resolution analysis; super resolution

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Diagnostics (Basel) Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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