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Breast Density Analysis Using an Automatic Density Segmentation Algorithm
Breast density is a strong risk factor for breast cancer. In this paper, we present an automated approach for breast density segmentation in mammographic images based on a supervised pixel-based classification and using textural and morphological features. The objective of the paper is not only to s...
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| Опубликовано в: : | J Digit Imaging |
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| Главные авторы: | , , , , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Springer US
2015
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4570891/ https://ncbi.nlm.nih.gov/pubmed/25720749 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10278-015-9777-5 |
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