Validation of a new fully automated software for 2D digital mammographic breast density evaluation in predicting breast cancer risk

We compared accuracy for breast cancer (BC) risk stratification of a new fully automated system (DenSeeMammo—DSM) for breast density (BD) assessment to a non-inferiority threshold based on radiologists’ visual assessment. Pooled analysis was performed on 14,267 2D mammograms collected from women age...

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Detalles Bibliográficos
Autores principales: Giorgi Rossi, Paolo, Djuric, Olivera, Hélin, Valerie, Astley, Susan, Mantellini, Paola, Nitrosi, Andrea, Harkness, Elaine F., Gauthier, Emilien, Puliti, Donella, Balleyguier, Corinne, Baron, Camille, Gilbert, Fiona J., Grivegnée, André, Pattacini, Pierpaolo, Michiels, Stefan, Delaloge, Suzette
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8494838/
https://www.ncbi.nlm.nih.gov/pubmed/34615978
http://dx.doi.org/10.1038/s41598-021-99433-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8494838/
https://www.ncbi.nlm.nih.gov/pubmed/34615978
http://dx.doi.org/10.1038/s41598-021-99433-3

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