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Digital Mammography

Overview of attention for book
Cover of 'Digital Mammography'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Impact of CAD with Full Field Digital Mammography on Workflow and Cost
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    Chapter 2 Performance of Triple-Modality CADx on Breast Cancer Diagnostic Classification
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    Chapter 3 Needle Path Planning Method for Digital Breast Tomosynthesis Biopsy Based on Probabilistic Techniques
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    Chapter 4 X-ray Mammography – MRI Registration Using a Volume-Preserving Affine Transformation and an EM-MRF for Breast Tissue Classification
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    Chapter 5 Interactive Multi-scale Contrast Enhancement of Previously Processed Digital Mammograms
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    Chapter 6 Lesion Segmentation in Breast Sonography
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    Chapter 7 Mammogram Compression Using Super-Resolution
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    Chapter 8 Development of an Ensemble of Digital Breast Object Models.
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    Chapter 9 Analysis of Geometric Accuracy in Digital Breast Tomosynthesis Reconstruction
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    Chapter 10 Results of Comprehensive Dose Survey for Mammography
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    Chapter 11 Validation of a Simulated Dose Reduction Methodology Using Digital Mammography CDMAM Images and Mastectomy Images
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    Chapter 12 Measured Dose versus Organ Dose Performance in Digital Mammography Systems
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    Chapter 13 Noise Reduction in Dual-Energy Contrast Enhanced Digital Breast Tomosynthesis Using Regularization
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    Chapter 14 Phantom Dose Levels Found at Annual Physics Surveys in a National Mammography Screening Program: Comparison of Doses from Analog and Digital Equipment and from Digital Equipment at Different Points in Time
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    Chapter 15 Task-Based Evaluation of Image Quality of Filtered Back Projection for Breast Tomosynthesis
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    Chapter 16 A Comparative Study of the Inter-reader Variability of Breast Percent Density Estimation in Digital Mammography: Potential Effect of Reader’s Training and Clinical Experience
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    Chapter 17 Concepts for Efficient and Reliable Multi-modal Breast Image Reading
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    Chapter 18 Modeling the Impact of CAD on the Outcomes of the UK Breast Screening Programme
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    Chapter 19 Introducing a Novel Image Quality Measure for Digital Phase-Contrast-Image Evaluation
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    Chapter 20 Digital Mammography
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    Chapter 21 Classification of Linear Structures in Mammograms Using Random Forests
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    Chapter 22 Should CAD Be Used as a Second Reader? – Exploring Two Alternative Reading Modes for CAD in Screening Mammography
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    Chapter 23 Automated Assessment of Area of Dense Tissue in the Breast: A Comparison with Human Estimation
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    Chapter 24 Local Greylevel Appearance Histogram Based Texture Segmentation
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    Chapter 25 Quantification of Vascular Calcifications on Digitized Mammograms
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    Chapter 26 Comparison of Tilt Correction Methods in Full Field Digital Mammograms
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    Chapter 27 Optimising Beam Quality Selection in Mammographic Acquisition Using the Standard Attenuation Rate
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    Chapter 28 Investigating the Replacement of the Physical Anti-scatter Grid with Digital Image Processing
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    Chapter 29 Diffusion-Weighted Imaging (DWI) for Breast Cancers; Challenging to Diagnose Ductal Carcinoma in Situ (DCIS) and Invasive Lobular Carcinoma (ILC)
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    Chapter 30 CR Mammography: Image Quality Measurement and Model Calculation for Needle vs. Powder Imaging Plate
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    Chapter 31 Performance Assessment of Breast Tomosynthesis Systems: Concepts for Two Types of Phantoms
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    Chapter 32 Realistic Simulation of Microcalcifications in Breast Tomosynthesis
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    Chapter 33 Breast Tomosynthesis Reconstruction Using a Grid of Blobs with Projection Matrices
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    Chapter 34 A Boosting Based Approach for Automatic Micro-calcification Detection
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    Chapter 35 Automatic Breast Tissue Classification Based on BIRADS Categories
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    Chapter 36 Validation of Mammographic Texture Analysis for Assessment of Breast Cancer Risk
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    Chapter 37 Towards Learning Spiculation Score of the Masses in Mammography Images
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    Chapter 38 Three Digital Mammography Display Configurations: Observer Performance in a Pilot ROC Study
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    Chapter 39 How Can Image Quality Affect the Detection Performance of Breast CAD (Computer Aided Detection) in FFDM (Full Field Digital Mammography)? – A Comparative Study with Two Different FFDM Systems-
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    Chapter 40 Feature Point Detection for Non-rigid Registration of Digital Breast Tomosynthesis Images
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    Chapter 41 Contrast Detail Curves on Digital Mammography: Performance Comparison of Raw and Filtered Images
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    Chapter 42 Reader Fatigue Interpreting Mammograms
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    Chapter 43 Digital Mammography
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    Chapter 44 Human Observer Performance in a Single Slice or a Volume: Effect of Background Correlation
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    Chapter 45 Influence of Geometrical Factors on Phase Contrast Fiber Images
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    Chapter 46 Robust Breast Composition Measurement - Volpara TM
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    Chapter 47 Technical Evaluation of a Digital Breast Tomosynthesis System
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    Chapter 48 Mammographic Interpretation Training: How Could Low Cost Display Devices Help?
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    Chapter 49 A Survey of Patient Doses from Digital Mammography Systems in the UK in 2007 to 2009
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    Chapter 50 Analysis of Mammography Quality Control Results: Evidence for a Change in Test Frequency?
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    Chapter 51 A Comparative Study of Volumetric and Area-Based Breast Density Estimation in Digital Mammography: Results from a Screening Population
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    Chapter 52 Volumetric Breast Density and Breast Cancer Risk Factors in a Screening Population
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    Chapter 53 Determinants and Consequences of Change in Breast Density
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    Chapter 54 Comparison of Subregional Breast Density with Whole Breast Density
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    Chapter 55 Comparing a New Volumetric Breast Density Method (Volpara TM ) to Cumulus
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    Chapter 56 Visual Assessment of Density in Digital Mammograms
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    Chapter 57 Concepts for High-Resolution CT of the Breast
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    Chapter 58 Optimised Breast Tomosynthesis with a Novel CMOS Flat Panel Detector
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    Chapter 59 Calculation of OTF, NPS, and DQE for Oblique X-Ray Incidence on Turbid Granular Phosphors
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    Chapter 60 Scanner for Integrated X-Ray Breast Tomosynthesis and Molecular Breast Imaging Tomosynthesis
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    Chapter 61 An Anthropomorphic Software Breast Phantom for Tomosynthesis Simulation: Power Spectrum Analysis of Phantom Projections
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    Chapter 62 Comparison of Two Novel FFDM Systems with Different a-Se Detector Technology: Physical Characterization and Phantom Contrast Detail Evaluation in Clinical Conditions
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    Chapter 63 Development of a Peripheral Thickness Estimation Method for Volumetric Breast Density Measurements in Mammography Using a 3D Finite Element Breast Model
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    Chapter 64 Is CAD Able to Assist in the Detection of Subtle Breast Findings – Lobular Cancers, and T1a/T1b Masses in Dense Breasts?
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    Chapter 65 Towards More Realistic Biomechanical Modelling of Tumours under Mammographic Compressions
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    Chapter 66 Scoring Systems in Computer-Based Training for Digital Mammography
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    Chapter 67 The Effect of Slab Size on Mass Detection Performance of a Screen-Film CAD System in Reconstructed Tomosynthesis Volumes
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    Chapter 68 Digital Mammography
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    Chapter 69 Comparison of Microcalcification Detection Rates and Recall Rates in Digital and Analogue Mammography
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    Chapter 70 Digital Mammography
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    Chapter 71 Mammographic Image Segmentation and Risk Classification Using a Novel Texture Signature Based Methodology
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    Chapter 72 Stratified Sampling for Case Selection Criteria for Evaluating CAD
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    Chapter 73 Breast Shapes on Real and Simulated Mammograms
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    Chapter 74 Regularization Parameter Selection in Maximum a Posteriori Iterative Reconstruction for Digital Breast Tomosynthesis
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    Chapter 75 Image Quality Phantom in Close Compliance with the ICRU-44 Breast Tissue Substitute Standard and Realistic Background Noise Pattern for Digital Breast Tomosynthesis
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    Chapter 76 The Standard Attenuation Rate for Quantitative Mammography
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    Chapter 77 National Software Supported Quality Assurance Program in Digital Mammography: Experiences and Challenges
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    Chapter 78 Inter and Intra Observer Variability in a Semi-automatic Method for Measuring Volumetric Breast Density
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    Chapter 79 Optimization of the Exposure Parameters with Signal-to-Noise Ratios Considering Human Visual Characteristics in Digital Mammography
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    Chapter 80 Ideal Observer Comparison between Tomographic and Projection x-Ray Images of the Breast
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    Chapter 81 Breast Structural Noise in Digital Breast Tomosynthesis and Its Dependence on Reconstruction Methods
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    Chapter 82 Dual-Energy Dividing Mammography
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    Chapter 83 Effect of BI-RADS Assessment in Improving CAD of Masses
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    Chapter 84 Analysis of the Benefit/Risk Ratio Obtained in the Valencian Breast Early Detection Program During 2007 and 2008
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    Chapter 85 Digital Mammography
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    Chapter 86 Classifying Breast Masses in Volumetric Whole Breast Ultrasound Data: A 2.5-Dimensional Approach
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    Chapter 87 A supplement to the European Guidelines for Quality Assurance in Breast Cancer Screening and Diagnosis
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    Chapter 88 Investigation of Practical Scoring Methods for Breast Density
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    Chapter 89 Performance of the New Double Layer Amorphous Selenium Detector for Digital Mammography Compared to the FDA Approved CR System for Digital Mammography
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    Chapter 90 Machine Learning Techniques and Mammographic Risk Assessment
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    Chapter 91 Automatic BI-RADS Description of Mammographic Masses
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    Chapter 92 A Clustering Method for the Extraction of Microcalcifications Using Epipolar Curves in Digital Breast Tomosynthesis
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    Chapter 93 Software Framework for Simulating Clusters of Microcalcifications in Digital Mammography
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    Chapter 94 Improved Microcalcification Detection for Breast Tomosynthesis Using a Penalized-Maximum-Likelihood Reconstruction Method.
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    Chapter 95 Microcalcification Detection in Digital Breast Tomosynthesis Using an Epipolar Curve Approach
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    Chapter 96 Spiculated Lesions and Architectural Distortions Detection in Digital Breast Tomosynthesis Datasets
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    Chapter 97 An Observer Model for Lesion Detectability in Contrast-Enhanced Digital Mammography
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    Chapter 98 Fast Deformation Simulation of Breasts Using GPU-Based Dynamic Explicit Finite Element Method
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    Chapter 99 Digital Mammography
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    Chapter 100 The Effect of Motion Correction on Pharmacokinetic Parameter Estimation
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    Chapter 101 Improved Detection of Cancer in Screening Mammograms by Temporal Comparison
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    Chapter 102 Combined Reconstruction and Registration of Digital Breast Tomosynthesis
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

1 tweeter
2 patents
1 Facebook page


30 Dimensions

Readers on

9 Mendeley
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Digital Mammography
Published by
ADS, June 2010
DOI 10.1007/978-3-642-13666-5
978-3-64-213665-8, 978-3-64-213666-5

Joan Martí, Arnau Oliver, Jordi Freixenet, Robert Martí

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 44%
Student > Ph. D. Student 2 22%
Researcher 2 22%
Professor > Associate Professor 1 11%
Readers by discipline Count As %
Engineering 4 44%
Physics and Astronomy 2 22%
Medicine and Dentistry 2 22%
Mathematics 1 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 November 2018.
All research outputs
of 14,453,910 outputs
Outputs from ADS
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Outputs of similar age
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Outputs of similar age from ADS
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Altmetric has tracked 14,453,910 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 26,910 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 87% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 396,337 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 675 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.