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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...

תיאור מלא

שמור ב:
מידע ביבליוגרפי
הוצא לאור ב:Breast Cancer Res
Main Authors: Wang, Chao, Brentnall, Adam R., Cuzick, Jack, Harkness, Elaine F., Evans, D. Gareth, Astley, Susan
פורמט: Artigo
שפה:Inglês
יצא לאור: BioMed Central 2017
נושאים:
גישה מקוונת: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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