Learning from imbalanced COVID-19 chest X-ray (CXR) medical imaging data.

Chan, Jonathan H; Li, Chenqi

Chan, Jonathan H; Li, Chenqi.

Afiliación

Chan JH; Innovative Cognitive Computing (IC2) Research Center, School of Information Technology, King Mongkut's University of Technology Thonburi, Bangkok, Thailand. Electronic address: jonathan@sit.kmutt.ac.th.
Li C; Division of Engineering Science, Faculty of Applied Science and Engineering, University of Toronto, Toronto, Canada. Electronic address: chenqi.li@mail.utoronto.ca.

Methods ; 202: 31-39, 2022 06.

Article en En | MEDLINE | ID: mdl-34090971

Asunto(s)

COVID-19; Aprendizaje Profundo; COVID-19/diagnóstico por imagen; Humanos; Pandemias; SARS-CoV-2; Tomografía Computarizada por Rayos X/métodos; Rayos X

Palabras clave

COVID-19; Chest X-ray; Deep neural networks; Imbalanced data; Medical imaging; Transfer learning

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Aprendizaje Profundo / COVID-19 Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Methods Asunto de la revista: BIOQUIMICA Año: 2022 Tipo del documento: Article

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