Estimation of breast percent density in raw and processed full field digital mammography images via adaptive fuzzy c-means clustering and support vector machine segmentation.
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Vision 20/20: Mammographic breast density and its clinical applicationsA Review on Automatic Mammographic Density and Parenchymal SegmentationAgreement between Breast Percentage Density Estimations from Standard-Dose versus Synthetic Digital Mammograms: Results from a Large Screening Cohort Using Automated MeasuresBreast density and parenchymal texture measures as potential risk factors for Estrogen-Receptor positive breast cancer.Postmortem validation of breast density using dual-energy mammographyAutomated Percentage of Breast Density Measurements for Full-field Digital Mammography Applications.Calibrated breast density methods for full field digital mammography: a system for serial quality control and inter-system generalization.Associations between breast density and a panel of single nucleotide polymorphisms linked to breast cancer risk: a cohort study with digital mammography.Using multiscale texture and density features for near-term breast cancer risk analysisParenchymal texture analysis in digital mammography: A fully automated pipeline for breast cancer risk assessment.Parenchymal texture analysis in digital mammography: robust texture feature identification and equivalence across devicesBreast density evaluation using spectral mammography, radiologist reader assessment, and segmentation techniques: a retrospective study based on left and right breast comparisonPreliminary evaluation of the publicly available Laboratory for Breast Radiodensity Assessment (LIBRA) software tool: comparison of fully automated area and volumetric density measures in a case-control study with digital mammography.Mammographic parenchymal patterns as an imaging marker of endogenous hormonal exposure: a preliminary study in a high-risk population.Fully Automated Quantitative Estimation of Volumetric Breast Density from Digital Breast Tomosynthesis Images: Preliminary Results and Comparison with Digital Mammography and MR ImagingReader variability in breast density estimation from full-field digital mammograms: the effect of image postprocessing on relative and absolute measures.Impact of type of full-field digital image on mammographic density assessment and breast cancer risk estimation: a case-control study.Automated fibroglandular tissue segmentation and volumetric density estimation in breast MRI using an atlas-aided fuzzy C-means methodBreast density quantification using magnetic resonance imaging (MRI) with bias field correction: a postmortem study.Mammographic density assessed on paired raw and processed digital images and on paired screen-film and digital images across three mammography systems.Breast density quantification with cone-beam CT: a post-mortem study.The Impact of Acquisition Dose on Quantitative Breast Density Estimation with Digital Mammography: Results from ACRIN PA 4006.Breast parenchymal patterns in processed versus raw digital mammograms: A large population study toward assessing differences in quantitative measures across image representations.Association between Breast Parenchymal Complexity and False-Positive Recall From Digital Mammography Versus Breast Tomosynthesis: Preliminary Investigation in the ACRIN PA 4006 Trial.Racial Differences in Quantitative Measures of Area and Volumetric Breast Density.A population-based tissue probability map-driven level set method for fully automated mammographic density estimations.Automated Volumetric Breast Density derived by Shape and Appearance Modeling.Quantitative comparison of clustered microcalcifications in for-presentation and for-processing mammograms in full-field digital mammography.A novel and fully automated mammographic texture analysis for risk prediction: results from two case-control studiesA deep learning method for classifying mammographic breast density categories.Cancer imaging phenomics toolkit: quantitative imaging analytics for precision diagnostics and predictive modeling of clinical outcome.Computer-aided assessment of breast density: comparison of supervised deep learning and feature-based statistical learning.Optical assessment of mammographic breast density by a 12-wavelength vs a continuous-spectrum optical spectroscopy device.Understanding Clinical Mammographic Breast Density Assessment: a Deep Learning Perspective.Integrating mammographic breast density in glandular dose calculation.Using Convolutional Neural Networks for Enhanced Capture of Breast Parenchymal Complexity Patterns Associated with Breast Cancer Risk.The role of breast tomosynthesis in a predominantly dense breast population at a tertiary breast centre: breast density assessment and diagnostic performance in comparison with MRI.Mammographic breast density decreases after bariatric surgery.Beyond BI-RADS Density: A Call for Quantification in the Breast Imaging Clinic.
P2860
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P2860
Estimation of breast percent density in raw and processed full field digital mammography images via adaptive fuzzy c-means clustering and support vector machine segmentation.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
2012年论文
@zh
2012年论文
@zh-cn
name
Estimation of breast percent d ...... t vector machine segmentation.
@ast
Estimation of breast percent d ...... t vector machine segmentation.
@en
type
label
Estimation of breast percent d ...... t vector machine segmentation.
@ast
Estimation of breast percent d ...... t vector machine segmentation.
@en
prefLabel
Estimation of breast percent d ...... t vector machine segmentation.
@ast
Estimation of breast percent d ...... t vector machine segmentation.
@en
P2093
P2860
P356
P1433
P1476
Estimation of breast percent d ...... t vector machine segmentation.
@en
P2093
Brad M Keller
Despina Kontos
Diane L Nathan
Emily F Conant
James C Gee
Yuanjie Zheng
P2860
P304
P356
10.1118/1.4736530
P407
P577
2012-08-01T00:00:00Z