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Digital Mammography [2006]

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