Computerized assessment of tissue composition on digitized mammograms.
about
Vision 20/20: Mammographic breast density and its clinical applicationsQuantitative assessment of percent breast density: analog versus digital acquisition.Mammographic density. Measurement of mammographic densityClassification of breast computed tomography dataEvaluation of mammographic density patterns: reproducibility and concordance among scales.Reduction of false-positive recalls using a computerized mammographic image feature analysis schemeAssociation between computed tissue density asymmetry in bilateral mammograms and near-term breast cancer riskComputerized detection of breast tissue asymmetry depicted on bilateral mammograms: a preliminary study of breast risk stratificationOptimization of breast mass classification using sequential forward floating selection (SFFS) and a support vector machine (SVM) model.Computerized prediction of risk for developing breast cancer based on bilateral mammographic breast tissue asymmetry.Using multiscale texture and density features for near-term breast cancer risk analysisA new approach to develop computer-aided detection schemes of digital mammograms.Improving performance of computer-aided detection of masses by incorporating bilateral mammographic density asymmetry: an assessment.Improving the performance of computer-aided detection of subtle breast masses using an adaptive cueing method.Assessment of a Four-View Mammographic Image Feature Based Fusion Model to Predict Near-Term Breast Cancer RiskA minimum spanning forest based classification method for dedicated breast CT images.Bilateral mammographic density asymmetry and breast cancer risk: a preliminary assessment.Cupping artifact correction and automated classification for high-resolution dedicated breast CT images.Evaluation of breast parenchymal density with QUANTRA software.Prediction of near-term breast cancer risk based on bilateral mammographic feature asymmetry.Developing a new case based computer-aided detection scheme and an adaptive cueing method to improve performance in detecting mammographic lesions.Applying a new bilateral mammographic density segmentation method to improve accuracy of breast cancer risk prediction.An Unsupervised Automatic Segmentation Algorithm for Breast Tissue Classification of Dedicated Breast Computed Tomography Images.
P2860
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P2860
Computerized assessment of tissue composition on digitized mammograms.
description
2002 nî lūn-bûn
@nan
2002 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2002 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2002年の論文
@ja
2002年論文
@yue
2002年論文
@zh-hant
2002年論文
@zh-hk
2002年論文
@zh-mo
2002年論文
@zh-tw
2002年论文
@wuu
name
Computerized assessment of tissue composition on digitized mammograms.
@ast
Computerized assessment of tissue composition on digitized mammograms.
@en
Computerized assessment of tissue composition on digitized mammograms.
@nl
type
label
Computerized assessment of tissue composition on digitized mammograms.
@ast
Computerized assessment of tissue composition on digitized mammograms.
@en
Computerized assessment of tissue composition on digitized mammograms.
@nl
prefLabel
Computerized assessment of tissue composition on digitized mammograms.
@ast
Computerized assessment of tissue composition on digitized mammograms.
@en
Computerized assessment of tissue composition on digitized mammograms.
@nl
P2093
P1433
P1476
Computerized assessment of tissue composition on digitized mammograms.
@en
P2093
Lara A Hardesty
Thomas S Chang
Walter F Good
William R Poller
Xiao-Hui Wang
Yuan-Hsiang Chang
P304
P356
10.1016/S1076-6332(03)80459-2
P577
2002-08-01T00:00:00Z