Understanding Clinical Mammographic Breast Density Assessment: a Deep Learning Perspective

Author:

Mohamed Aly A.,Luo Yahong,Peng Hong,Jankowitz Rachel C.,Wu Shandong

Funder

National Institutes of Health

Radiological Society of North America

Precision Medicine Pilot Award from the University of Pittsburgh Cancer Institute-Institute for Precision Medicine

Biomedical Modeling Pilot Award from the Clinical and Translational Science Institute of the University of Pittsburgh

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference18 articles.

1. Obenauer S, Hermann KP, Grabbe E: Applications and literature review of the BI-RADS classification. Eur Radiol 15:1027–1036, 2005

2. Laboratory for Individualized Breast Radiodensity Assessment (LIBRA), available online: https://www.cbica.upenn.edu/sbia/software/LIBRA/index.html . Accessed date: August 1, 2016

3. Quantra, available online: http://www.hologic.com/en/breast-screening/volumetric-assessment/

4. Volpara, available online: http:// www.volparadensity.com/

5. Huo CW, Chew GL, Britt KL et al.: Mammographic density—a review on the current understanding of its association with breast cancer. Breast Cancer Res Treat 144:479–502, 2014

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