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Computational simulation of breast compression based on segmented breast and fibroglandular tissues on magnetic resonance imagesVision 20/20: Mammographic breast density and its clinical applicationsA Review on Automatic Mammographic Density and Parenchymal SegmentationComparison of fully and semi-automated area-based methods for measuring mammographic density and predicting breast cancer riskAssessing within-woman changes in mammographic density: a comparison of fully versus semi-automated area-based approachesAssessment of a fully automated, high-throughput mammographic density measurement tool for use with processed digital mammogramsBreast Imaging Reporting and Data System (BI-RADS) breast composition descriptors: automated measurement development for full field digital mammographyAgreement between Breast Percentage Density Estimations from Standard-Dose versus Synthetic Digital Mammograms: Results from a Large Screening Cohort Using Automated MeasuresStatistical learning techniques applied to epidemiology: a simulated case-control comparison study with logistic regression.Reliability of the percent density in digital mammography with a semi-automated thresholding method.A clinical trial of lovastatin for modification of biomarkers associated with breast cancer risk.Changes in mammographic density over time in breast cancer cases and women at high risk for breast cancer.Automated Percentage of Breast Density Measurements for Full-field Digital Mammography Applications.A quantitative description of the percentage of breast density measurement using full-field digital mammographyQuantitative assessment of breast mammographic density with a new objective methodMammographic Breast Density in Chinese Women: Spatial Distribution and Autocorrelation PatternsDensity is in the eye of the beholder: visual versus semi-automated assessment of breast density on standard mammograms.Fully Automated Quantitative Estimation of Volumetric Breast Density from Digital Breast Tomosynthesis Images: Preliminary Results and Comparison with Digital Mammography and MR ImagingHigh-throughput mammographic-density measurement: a tool for risk prediction of breast cancerEnhancement of mammographic density measures in breast cancer risk prediction.Cumulative sum quality control for calibrated breast density measurements.AutoDensity: an automated method to measure mammographic breast density that predicts breast cancer risk and screening outcomes.Mammographic density-a review on the current understanding of its association with breast cancer.Research in digital mammography and tomosynthesis at the University of Toronto.Automatic Estimation of Volumetric Breast Density Using Artificial Neural Network-Based Calibration of Full-Field Digital Mammography: Feasibility on Japanese Women With and Without Breast Cancer.Feasibility study of a breast density measurement within a direct photon-counting mammography scanner system.Using automated texture features to determine the probability for masking of a tumor on mammography, but not ultrasound.Tumour size at detection according to different measures of mammographic breast density.Beyond BI-RADS Density: A Call for Quantification in the Breast Imaging Clinic.
P2860
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P2860
description
2008 nî lūn-bûn
@nan
2008年の論文
@ja
2008年学术文章
@wuu
2008年学术文章
@zh-cn
2008年学术文章
@zh-hans
2008年学术文章
@zh-my
2008年学术文章
@zh-sg
2008年學術文章
@yue
2008年學術文章
@zh
2008年學術文章
@zh-hant
name
An automated approach for estimation of breast density.
@en
An automated approach for estimation of breast density.
@nl
type
label
An automated approach for estimation of breast density.
@en
An automated approach for estimation of breast density.
@nl
prefLabel
An automated approach for estimation of breast density.
@en
An automated approach for estimation of breast density.
@nl
P2093
P2860
P1476
An automated approach for estimation of breast density.
@en
P2093
Christopher G Scott
Fang-Fang Wu
John J Heine
Kathleen R Brandt
Michael J Carston
Thomas A Sellers
Vernon Shane Pankratz
P2860
P304
P356
10.1158/1055-9965.EPI-08-0170
P577
2008-11-01T00:00:00Z