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A novel and fully automated mammographic texture analysis for risk prediction: results from two case-control studies

BACKGROUND: The percentage of mammographic dense tissue (PD) is an important risk factor for breast cancer, and there is some evidence that texture features may further improve predictive ability. However, relatively little work has assessed or validated textural feature algorithms using raw full fi...

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Bibliografiske detaljer
Udgivet i:Breast Cancer Res
Main Authors: Wang, Chao, Brentnall, Adam R., Cuzick, Jack, Harkness, Elaine F., Evans, D. Gareth, Astley, Susan
Format: Artigo
Sprog:Inglês
Udgivet: BioMed Central 2017
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5648465/
https://ncbi.nlm.nih.gov/pubmed/29047382
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13058-017-0906-6
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