Multi-path deep learning model for automated mammographic density categorization
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Lubomir M. Hadjiiski | Chuan Zhou | Heang-Ping Chan | Mark A. Helvie | Yao Lu | Jun Wei | Xiangyuan Ma | Caleb Fisher
[1] V. McCormack,et al. Breast Density and Parenchymal Patterns as Markers of Breast Cancer Risk: A Meta-analysis , 2006, Cancer Epidemiology Biomarkers & Prevention.
[2] A. Jemal,et al. Cancer statistics, 2018 , 2018, CA: a cancer journal for clinicians.
[3] Samuel J. Magny,et al. Breast Imaging Reporting and Data System , 2020, Definitions.
[4] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[5] E A Sickles,et al. Breast cancer screening outcomes in women ages 40-49: clinical experience with service screening using modern mammography. , 1997, Journal of the National Cancer Institute. Monographs.
[6] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[7] V. Shane Pankratz,et al. Mammographic Breast Density as a General Marker of Breast Cancer Risk , 2007, Cancer Epidemiology Biomarkers & Prevention.
[8] N. Boyd,et al. Mammographic density and breast cancer risk: current understanding and future prospects , 2011, Breast Cancer Research.
[9] Mingming Wang,et al. Multi-path Convolutional Neural Networks for Complex Image Classification , 2015, ArXiv.