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.

Afiliación

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 en En | MEDLINE | ID: mdl-34597937

Asunto(s)

COVID-19; Sesgo; Humanos; Radiografía; SARS-CoV-2; Rayos X

Palabras clave

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

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Diagnostic_studies / Prognostic_studies / Systematic_reviews Límite: Humans Idioma: En Revista: Med Image Anal Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2021 Tipo del documento: Article Pais de publicación: Países Bajos

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