Comparison of fully and semi-automated area-based methods for measuring mammographic density and predicting breast cancer risk

BACKGROUND: Mammographic density is a strong risk factor for breast cancer but the lack of valid fully automated methods for quantifying it has precluded its use in clinical and screening settings. We compared the performance of a recently developed automated approach, based on the public domain Ima...

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Detalles Bibliográficos
Autores principales: Sovio, U, Li, J, Aitken, Z, Humphreys, K, Czene, K, Moss, S, Hall, P, McCormack, V, dos-Santos-Silva, I
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2014
Materias:
Epidemiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3974092/
https://www.ncbi.nlm.nih.gov/pubmed/24556624
http://dx.doi.org/10.1038/bjc.2014.82

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3974092/
https://www.ncbi.nlm.nih.gov/pubmed/24556624
http://dx.doi.org/10.1038/bjc.2014.82

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