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Breast Cancer Risk and Mammographic Density Assessed with Semiautomated and Fully Automated Methods and BI-RADS.
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Breast cancer CADx based on BI-RAds descriptors from two mammographic views.
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Quantification of masking risk in screening mammography with volumetric breast density maps.
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Volumetric Breast Density Estimation From Three-Dimensional Reconstructed Digital Breast Tomosynthesis Images Using Deep Learning.
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Local texture statistics augment the power spectrum in modeling radiographic judgments of breast density.
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Breast density notification: Are family doctors prepared to counsel patients on risks and management?
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Mammographic Breast Density Model Using Semi-Supervised Learning Reduces Inter-/Intra-Reader Variability.
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Persistent inter-observer variability of breast density assessment using BI-RADS® 5th edition guidelines.
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Imaging With Synthesized 2D Mammography: Differences, Advantages, and Pitfalls Compared With Digital Mammography.
AJR Am J Roentgenol. 2017 Jul;209(1):222-229. doi: 10.2214/AJR.16.17476. Epub 2017 May 2.
2
Clinical Performance of Synthesized Two-dimensional Mammography Combined with Tomosynthesis in a Large Screening Population.
Radiology. 2017 Apr;283(1):70-76. doi: 10.1148/radiol.2017162674. Epub 2017 Feb 21.
3
Using Volumetric Breast Density to Quantify the Potential Masking Risk of Mammographic Density.
AJR Am J Roentgenol. 2017 Jan;208(1):222-227. doi: 10.2214/AJR.16.16489. Epub 2016 Nov 8.
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Implementation of Synthesized Two-dimensional Mammography in a Population-based Digital Breast Tomosynthesis Screening Program.
Radiology. 2016 Dec;281(3):730-736. doi: 10.1148/radiol.2016160366. Epub 2016 Jul 28.
9
Content, Readability, and Understandability of Dense Breast Notifications by State.
JAMA. 2016 Apr 26;315(16):1786-8. doi: 10.1001/jama.2016.1712.
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