Validation of a new fully automated software for 2D digital mammographic breast density evaluation in predicting breast cancer risk
Abstract 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...
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Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/2ae46de7556848ca9eefd8ac6c0d1149 |
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