Artificial intelligence in BreastScreen Norway: a retrospective analysis of a cancer-enriched sample including 1254 breast cancer cases

OBJECTIVES: To compare results of selected performance measures in mammographic screening for an artificial intelligence (AI) system versus independent double reading by radiologists. METHODS: In this retrospective study, we analyzed data from 949 screen-detected breast cancers, 305 interval cancers...

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Detalles Bibliográficos
Autores principales: Koch, Henrik Wethe, Larsen, Marthe, Bartsch, Hauke, Kurz, Kathinka Dæhli, Hofvind, Solveig
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Breast
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10121532/
https://www.ncbi.nlm.nih.gov/pubmed/36917260
http://dx.doi.org/10.1007/s00330-023-09461-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10121532/
https://www.ncbi.nlm.nih.gov/pubmed/36917260
http://dx.doi.org/10.1007/s00330-023-09461-y

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