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Determination of mammographic breast density using a deep convolutional neural network
OBJECTIVE: High breast density is a risk factor for breast cancer. The aim of this study was to develop a deep convolutional neural network (dCNN) for the automatic classification of breast density based on the mammographic appearance of the tissue according to the American College of Radiology Brea...
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| Опубликовано в: : | Br J Radiol |
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| Главные авторы: | , , , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
The British Institute of Radiology.
2019
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6435091/ https://ncbi.nlm.nih.gov/pubmed/30209957 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1259/bjr.20180691 |
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