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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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Библиографические подробности
Опубликовано в: :Br J Radiol
Главные авторы: Ciritsis, Alexander, Rossi, Cristina, Vittoria De Martini, Ilaria, Eberhard, Matthias, Marcon, Magda, Becker, Anton S., Berger, Nicole, Boss, Andreas
Формат: Artigo
Язык:Inglês
Опубликовано: The British Institute of Radiology. 2019
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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