Artificial intelligence in mammographic phenotyping of breast cancer risk: a narrative review.
Background: Improved breast cancer risk assessment models are needed to enable personalized screening strategies that achieve better harm-to-benefit ratio based on earlier detection and better breast cancer outcomes than existing screening guidelines. Computational mammographic phenotypes have demon...
| Publicado en: | Breast Cancer Research Vol. 24; no. 1; pp. 1 - 13 |
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| Autores principales: | , , , , |
| Formato: | diagnostic images review tables/charts Journal Article |
| Publicado: |
BioMed Central
2/20/2022
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| Acceso en línea: | Ver este registro en EBSCOhost |