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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Vydáno v:Breast Cancer Res
Hlavní autoři: Wang, Chao, Brentnall, Adam R., Cuzick, Jack, Harkness, Elaine F., Evans, D. Gareth, Astley, Susan
Médium: Artigo
Jazyk:Inglês
Vydáno: BioMed Central 2017
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Research Article
On-line přístup: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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