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1
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A New Step-Wedge for the Volumetric Measurement of Mammographic Density
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10
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Assessing Ground Truth of Glandular Tissue
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18
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Volumetric Breast Density Estimation on Mammograms Using Breast Tissue Equivalent Phantoms – An Update
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26
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An Alternative Approach to Measuring Volumetric Mammographic Breast Density
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34
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Breast Density Dependent Computer Aided Detection
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39
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Evaluation of Effects of HRT on Breast Density
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46
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Modeling the Effect of Computer-Aided Detection on the Sensitivity of Screening Mammography
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54
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Use of Prompt Magnitude in Computer Aided Detection of Masses in Mammograms
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61
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Current Screening Practice: Implications for the Introduction of CAD
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68
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Mammographic Mass Detection Using Unsupervised Clustering in Synergy with a Parcimonious Supervised Rule-Based Classifier
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76
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Computerized Classification Can Reduce Unnecessary Biopsies in BI-RADS Category 4A Lesions
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84
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Addressing Image Variability While Learning Classifiers for Detecting Clusters of Micro-calcifications
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92
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Computer-Aided Detection of Breast Cancer Using an Ultra High-Resolution Liquid Crystal Display: Reading Session Analysis
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97
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Mammography Reading with Computer-Aided Detection (CAD): Performance of Different Readers
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105
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The Impact of Integration of Computer-Aided Detection and Human Observers
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111
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Improving Access to Mammography in Rural Areas
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118
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Dual Modality Surgical Guidance for Non-palpable Breast Lesions
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125
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Mammography Reading with Computer-Aided Detection (CAD): Single View <Emphasis Type="Italic">vs</Emphasis> Two Views
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131
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Automated Breast Tissue Measurement of Women at Increased Risk of Breast Cancer
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137
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Mammography Tomosynthesis System for High Performance 3D Imaging
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144
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Clinical Evaluation of a Photon-Counting Tomosynthesis Mammography System
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152
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Three-Dimensional Digital Breast Tomosynthesis in the Early Diagnosis and Detection of Breast Cancer
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160
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Lesion Visibility in Low Dose Tomosynthesis
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167
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Generalized Filtered Back-Projection Reconstruction in Breast Tomosynthesis
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175
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Adaptation of Image Quality Using Various Filter Setups in the Filtered Backprojection Approach for Digital Breast Tomosynthesis
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183
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Optimization of Contrast-Enhanced Digital Breast Tomosynthesis
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190
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Development of an Analytic Breast Phantom for Quantitative Comparison of Reconstruction Algorithms for Digital Breast Tomosynthesis
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197
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X-Ray Mammogram Registration: A Novel Validation Method
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205
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A Probabilistic Approach for the Simultaneous Mammogram Registration and Abnormality Detection
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213
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Mammographic Registration: Proposal and Evaluation of a New Approach
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221
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Image Similarity and Asymmetry to Improve Computer-Aided Detection of Breast Cancer
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229
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Potential Usefulness of Multiple-Mammographic Views in Computer-Aided Diagnosis Scheme for Identifying Histological Classification of Clustered Microcalcification
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237
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Exploitation of Correspondence Between CC and MLO Views in Computer Aided Mass Detection
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243
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Breast Composition Measurements Using Retrospective Standard Mammogram Form (SMF)
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251
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A Scatter Model for Use in Measuring Volumetric Mammographic Breast Density
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259
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Using a Homogeneity Test as Weekly Quality Control on Digital Mammography Units
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266
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Automated and Human Determination of Threshold Contrast for Digital Mammography Systems
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273
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Beam Optimization for Digital Mammography – II
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281
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Image Qualities of Phase-Contrast Mammography
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289
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Application of the Multiple Image Radiography Method to Breast Imaging
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299
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Correlating Cone-Beam CT and Large-Section Histology Image Sets: Initial Results Using a Surgical Lumpectomy Specimen
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307
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Calcification Descriptor and Relevance Feedback Learning Algorithms for Content-Based Mammogram Retrieval
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315
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Clinical Optimization of Filters in Direct a-Se FFDM (Full Field Digital Mammography) System
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324
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Study on Cascade Classification in Abnormal Shadow Detection for Mammograms
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332
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Classifying Masses as Benign or Malignant Based on Co-occurrence Matrix Textures: A Comparison Study of Different Gray Level Quantizations
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340
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A Ranklet-Based CAD for Digital Mammography
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347
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Detection of Microcalcifications in Digital Mammograms Based on Dual-Threshold
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355
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Feasibility and Acceptability of Stepwedge-Based Density Measurement
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362
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Use of the European Protocol to Optimise a Digital Mammography System
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370
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Automated Detection Method for Architectural Distortion with Spiculation Based on Distribution Assessment of Mammary Gland on Mammogram
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376
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Web Services for the DDSM and Digital Mammography Research
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384
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GPCALMA: An Italian Mammographic Database of Digitized Images for Research
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392
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Development of Breast Ultrasound CAD System for Screening
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399
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Linking Image Structures with Medical Ontology Information
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407
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Comparison Between Wolfe, Boyd, BI-RADS and Tabár Based Mammographic Risk Assessment
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416
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Initial Results of the Daily Quality Control of Medical Screen Devices Using a Dynamic Pattern in a Digital Mammography Environment
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424
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A Filter-Based Approach Towards Automatic Detection of Microcalcification
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433
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Texture Based Segmentation
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441
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Image Quality of a Photon-Counting Mammography System Compared to Digital Mammography Based on Amorphous Silicon with CsI-Scintillator
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447
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Understanding Hessian-Based Density Scoring
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453
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Review of the Dose and Image Quality Characteristics of 3 FFDM Systems in Clinical Practice in a Screening Programme
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460
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Impact of Textured Background on Scoring of Simulated CDMAM Phantom
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468
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Magnetic Resonance Electrical Impedance Mammography: A Pilot Study
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475
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Experimental Investigation of the Necessity for Extra Flat Field Corrections in Quality Control of Digital Mammography
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482
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Observer Evaluations of Wavelet Methods for the Enhancement and Compression of Digitized Mammograms
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490
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Evaluating the Effect of Dose on Reconstructed Image Quality in Digital Tomosynthesis
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498
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Registration of Mammograms and Breast Tomosynthesis Images
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504
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Complementary Role of Computer Aided Detection in Mammography
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509
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The Refinement of Microcalcification Cluster Assessment by Joint Analysis of MLO and CC Views
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517
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The Dependence of Tomosynthesis Imaging Performance on the Number of Scan Projections
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525
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First Attempt at 3D X-Ray Visualization of DCIS (Ductal Carcinoma in Situ) Due to Refraction Contrast – In Good Relation to Pathological View
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533
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Lossless Compression of Digital Mammograms
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541
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Capturing Microcalcification Patterns in Dense Parenchyma with Wavelet-Based Eigenimages
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549
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Breast Component Adaptive Wavelet Enhancement for Soft-Copy Display of Mammograms
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557
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Using Wavelet-Based Features to Identify Masses in Dense Breast Parenchyma
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565
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Leveraging the Digital Mammography Image Screening Trial (DMIST) Data for the Evaluation of Computer-Aided Detection (CAD) Devices: A Proposal
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569
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Comparison of Computerized Image Analyses for Digitized Screen-Film Mammograms and Full-Field Digital Mammography Images
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576
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Comparison Between CRT and LCD Displays for Full-Field-Digital-Mammography (FFDM) Interpretation
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585
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A Harmonized Quality Control Program for Digital Mammography
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593
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Contrast Threshold of 4 Full Field Digital Mammography Systems Using Different Measurement Methods
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601
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The Use of Multi-scale Monogenic Signal on Structure Orientation Identification and Segmentation
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609
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Breast Density Segmentation Using Texture
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616
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Texture Based Mammogram Classification and Segmentation
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626
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Mammographic Risk Assessment Based on Anatomical Linear Structures
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634
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Comparison of Methods for Classification of Breast Ductal Branching Patterns
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642
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Validation of Graph Theoretic Segmentation of the Pectoral Muscle