Public Covid-19 X-ray datasets and their impact on model bias - A systematic review of a significant problem.

Garcia Santa Cruz, Beatriz; Bossa, Matías Nicolás; Sölter, Jan; Husch, Andreas Dominik

Garcia Santa Cruz, Beatriz; Bossa, Matías Nicolás; Sölter, Jan; Husch, Andreas Dominik.

Afiliação

Garcia Santa Cruz B; Centre Hospitalier de Luxembourg, 4, Rue Ernest Barble, Luxembourg L-1210, Luxembourg; Luxembourg Centre for Systems Biomedicine, University of Luxembourg, 7, Avenue des Hauts Fourneaux, Esch-sur-Alzette L-4362, Luxembourg. Electronic address: beatriz.garcia@ext.uni.lu.
Bossa MN; Luxembourg Centre for Systems Biomedicine, University of Luxembourg, 7, Avenue des Hauts Fourneaux, Esch-sur-Alzette L-4362, Luxembourg; Department of Electronics and Informatics (ETRO), Vrije Universiteit Brussel (VUB), Pleinlaan 2, Brussels B-1050, Belgium.
Sölter J; Luxembourg Centre for Systems Biomedicine, University of Luxembourg, 7, Avenue des Hauts Fourneaux, Esch-sur-Alzette L-4362, Luxembourg.
Husch AD; Luxembourg Centre for Systems Biomedicine, University of Luxembourg, 7, Avenue des Hauts Fourneaux, Esch-sur-Alzette L-4362, Luxembourg.

Med Image Anal ; 74: 102225, 2021 12.

Article em En | MEDLINE | ID: mdl-34597937

Assuntos

COVID-19; Viés; Humanos; Radiografia; SARS-CoV-2; Raios X

Palavras-chave

Bias; COVID-19; Confounding; Datasets; Imaging; Machine learning; Review; X-Ray

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Diagnostic_studies / Prognostic_studies / Systematic_reviews Limite: Humans Idioma: En Revista: Med Image Anal Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2021 Tipo de documento: Article

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