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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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| Publicado no: | Breast Cancer Res |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2017
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| Assuntos: | |
| Acesso em linha: | 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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