Validation of a new fully automated software for 2D digital mammographic breast density evaluation i...
Validation of a new fully automated software for 2D digital mammographic breast density evaluation in predicting breast cancer risk
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Author / Creator
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 and Delaloge, Suzette
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
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Publication information
Publisher
London: Nature Publishing Group UK
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Scope and Contents
Contents
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 aged 48–55 years who underwent BC screening within th...
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Full title
Validation of a new fully automated software for 2D digital mammographic breast density evaluation in predicting breast cancer risk
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TN_cdi_doaj_primary_oai_doaj_org_article_2ae46de7556848ca9eefd8ac6c0d1149
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2ae46de7556848ca9eefd8ac6c0d1149
Other Identifiers
ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-021-99433-3
