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Breast Imaging

Overview of attention for book
Cover of 'Breast Imaging'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Agreement Between Radiologists’ Interpretations of Screening Mammograms
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    Chapter 2 Quality Control of Breast Tomosynthesis for a Screening Trial: Preliminary Experience
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    Chapter 3 Summary of Outcomes from Consecutive Years of Tomosynthesis Screening at an American Academic Institution
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    Chapter 4 LUT-QNE: Look-Up-Table Quantum Noise Equalization in Digital Mammograms
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    Chapter 5 Automatic Microcalcification Detection in Multi-vendor Mammography Using Convolutional Neural Networks
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    Chapter 6 Similar Image Retrieval of Breast Masses on Ultrasonography Using Subjective Data and Multidimensional Scaling
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    Chapter 7 A Comparison Between a Deep Convolutional Neural Network and Radiologists for Classifying Regions of Interest in Mammography
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    Chapter 8 Diagnostic Usefulness of Synthetic MMG (SMMG) with DBT (Digital Breast Tomosynthesis) for Clinical Setting in Breast Cancer Screening
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    Chapter 9 Development of Digital Phantom for Digital Mammography with Soft-Copy Reading
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    Chapter 10 Improving the Quality of Optimisation Studies Undertaken in Mammography and General Radiology Using High Level Blended Teaching
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    Chapter 11 Simplified Method for FROC Observer Study to Evaluate the Diagnostic Accuracy of a Digital Breast Imaging System by Using a CDMAM Phantom
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    Chapter 12 Equivocal Breast Findings Are Reduced with Digital Tomosynthesis
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    Chapter 13 The Accuracy of an Estimating Method for the Mammary Gland Composition in the Mammography Using the CdTe-Series Photon Counting Detector
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    Chapter 14 Towards Optimization of Image Quality as a Function of Breast Thickness in Mammography: An Investigation of the Breast Thickness Compensation Schemes on Analogue and Digital Mammography Units
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    Chapter 15 Lower Recall Rates Reduced Readers’ Sensitivity in Screening Mammography
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    Chapter 16 Simulation of Positron Emission Mammography Imaging with Pixelated CdTe.
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    Chapter 17 The International Use of PERFORMS Mammographic Test Sets
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    Chapter 18 Dependence of Contrast-Enhanced Lesion Detection in Contrast-Enhanced Digital Breast Tomosynthesis on Imaging Chain Design
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    Chapter 19 Evaluation of the BreastSimulator Software Platform for Breast Tomography: Preliminary Results
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    Chapter 20 Effect of Dose on the Detection of Micro-Calcification Clusters for Planar and Tomosynthesis Imaging
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    Chapter 21 Dosimetric Modeling of Mammography Using the Monte Carlo Code PENELOPE and Its Validation
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    Chapter 22 Nonlinear Local Transformation Based Mammographic Image Enhancement
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    Chapter 23 A Hybrid Detection Scheme of Architectural Distortion in Mammograms Using Iris Filter and Gabor Filter
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    Chapter 24 Breast Imaging
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    Chapter 25 Monte Carlo Evaluation of Normalized Glandular Dose Coefficients in Mammography
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    Chapter 26 Breast Density Assessment Using Breast Tomosynthesis Images
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    Chapter 27 Detailed Analysis of Scatter Contribution from Different Simulated Geometries of X-ray Detectors
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    Chapter 28 Calibration Procedure of Three Component Mammographic Breast Imaging
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    Chapter 29 Local Detectability Maps as a Tool for Predicting Masking Probability and Mammographic Performance
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    Chapter 30 The Effect of Breast Composition on a No-reference Anisotropic Quality Index for Digital Mammography
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    Chapter 31 Grid-Less Imaging with Anti-scatter Correction Software in 2D Mammography: A JAFROC Study Using Simulated Lesions
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    Chapter 32 Towards a Phantom for Multimodality Performance Evaluation of Breast Imaging: A 3D Structured Phantom with Simulated Lesions Tested for 2D Digital Mammography
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    Chapter 33 Simulation and Visualization to Support Breast Surgery Planning
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    Chapter 34 Single Section Biomarker Measurement and Colocalization via a Novel Multiplexing Staining Technology
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    Chapter 35 Breast Conserving Surgery Outcome Prediction: A Patient-Specific, Integrated Multi-modal Imaging and Mechano-Biological Modelling Framework
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    Chapter 36 The Characteristics of Malignant Breast Tumors Imaged Using a Prototype Mechanical Imaging System as an Adjunct to Mammography
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    Chapter 37 Mammographic Density Over Time in Women With and Without Breast Cancer
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    Chapter 38 Learning Density Independent Texture Features
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    Chapter 39 Breast Asymmetry, Distortion and Density Are Key Factors for False Positive Decisions
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    Chapter 40 Estimation of Perceived Background Tissue Complexity in Mammograms
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    Chapter 41 Patient Dose Survey of Mammography Systems in the UK in 2013–2015
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    Chapter 42 A Pilot Study on Radiation Dose from Combined Mammography Screening in Australia
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    Chapter 43 Simulation of Dose Reduction in Digital Breast Tomosynthesis
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    Chapter 44 Non-expert Classification of Microcalcification Clusters Using Mereotopological Barcodes
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    Chapter 45 Mammographic Segmentation and Density Classification: A Fractal Inspired Approach
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    Chapter 46 Whole Mastectomy Volume Reconstruction from 2D Radiographs and Its Mapping to Histology
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    Chapter 47 Accurate Quantification of Glandularity and Its Applications with Regard to Breast Radiation Doses and Missed Lesion Rates During Individualized Screening Mammography
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    Chapter 48 A Preliminary Study on Breast Cancer Risk Analysis Using Deep Neural Network
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    Chapter 49 A Novel Breast Cancer Risk Assessment Scheme Design Using Dual View Mammograms
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    Chapter 50 Automated Multimodal Computer Aided Detection Based on a 3D-2D Image Registration
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    Chapter 51 Exposure Conditions According to Breast Thickness and Glandularity in Japanese Women
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    Chapter 52 Deep Cascade Classifiers to Detect Clusters of Microcalcifications
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    Chapter 53 Mammographic Ellipse Modelling Towards Birads Density Classification
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    Chapter 54 Automatic Image Quality Assessment for Digital Pathology
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    Chapter 55 Automated Analysis of Breast Tumour in the Breast DCE-MR Images Using Level Set Method and Selective Enhancement of Invasive Regions
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    Chapter 56 Feasibility of Depth Sensors to Study Breast Deformation During Mammography Procedures
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    Chapter 57 Proposal of Semi-automatic Classification of Breast Lesions for Strain Sonoelastography Using a Dedicated CAD System
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    Chapter 58 Markovian Approach to Automatic Annotation of Breast Mass Spicules Using an A Contrario Model
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    Chapter 59 Improving Mammographic Density Estimation in the Breast Periphery
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    Chapter 60 Simulation of Breast Anatomy: Bridging the Radiology-Pathology Scale Gap
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    Chapter 61 Volumetric Breast Density Combined with Masking Risk: Enhanced Characterization of Breast Density from Mammography Images
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    Chapter 62 Comparison of Four Breast Tissue Segmentation Algorithms for Multi-modal MRI to X-ray Mammography Registration
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    Chapter 63 3D Total Variation Minimization Filter for Breast Tomosynthesis Imaging
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    Chapter 64 Variations in Breast Density and Mammographic Risk Factors in Different Ethnic Groups
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    Chapter 65 Virtual Tools for the Evaluation of Breast Imaging: State-of-the Science and Future Directions
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    Chapter 66 A Measure of Regional Mammographic Masking Based on the CDMAM Phantom
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    Chapter 67 A Statistical Method for Low Contrast Detectability Assessment in Digital Mammography
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    Chapter 68 Should We Adjust Visually Assessed Mammographic Density for Observer Variability?
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    Chapter 69 Do Women with Low Breast Density Have Regionally High Breast Density?
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    Chapter 70 Energy Dependence of Water and Lipid Calibration Materials for Three-Compartment Breast Imaging
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    Chapter 71 Development of Fully-3D CT in a Hybrid SPECT-CT Breast Imaging System
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    Chapter 72 Volumetric Breast-Density Measurement Using Spectral Photon-Counting Tomosynthesis: First Clinical Results
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    Chapter 73 Texture Analysis of Contrast-Enhanced Digital Mammography (CEDM) Images
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    Chapter 74 Estimating Breast Thickness for Dual-Energy Subtraction in Contrast-Enhanced Digital Mammography: A Theoretical Model
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    Chapter 75 A Simulation Study on Spectral Lesion Characterization
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    Chapter 76 Contrast Detail Phantoms for X-ray Phase-Contrast Mammography and Tomography
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    Chapter 77 Image Quality and Radiation Dose in Propagation Based Phase Contrast Mammography with a Microfocus X-ray Tube: A Phantom Study
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    Chapter 78 Phase-Contrast Clinical Breast CT: Optimization of Imaging Setups and Reconstruction Workflows
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    Chapter 79 Improving Breast Mass Segmentation in Local Dense Background: An Entropy Based Optimization of Statistical Region Merging Method
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    Chapter 80 System Calibration for Quantitative Contrast-Enhanced Digital Breast Tomosynthesis (CEDBT)
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    Chapter 81 Rapid Generation of Structured Physical Phantoms for Mammography and Digital Breast Tomosynthesis
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    Chapter 82 A Novel 3D Stochastic Solid Breast Texture Model for X-Ray Breast Imaging
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    Chapter 83 Breast Imaging
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    Chapter 84 Impact of Clinical Display Device on Detectability of Breast Masses in 2D Digital Mammography: A Virtual Clinical Study
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#5 of 7,631)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
57 news outlets
twitter
2 tweeters

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
40 Mendeley
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Title
Breast Imaging
Published by
Lecture notes in computer science, June 2016
DOI 10.1007/978-3-319-41546-8
ISBNs
978-3-31-941545-1, 978-3-31-941546-8
Authors

Tromba, Giuliana, Pacilè, Serena, Nesterets, Yakov I., Brun, Francesco, Dullin, Christian, Dreossi, Diego, Mayo, Sheridan C., Stevenson, Andrew W., Pavlov, Konstantin M., Kitchen, Markus J., Thompson, Darren, Brown, Jeremy M. C., Lockie, Darren, Tonutti, Maura, Stacul, Fulvio, Zanconati, Fabrizio, Accardo, Agostino, Gureyev, T. E., Chen, Yan, Dong, Leng, Nevisi, Hossein, Gale, Alastair, Tornai, Martin P., Shah, Jainil P., Mann, Steve D., McKinley, Randolph L.

Editors

Anders Tingberg, Kristina Lång, Pontus Timberg

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters 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 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 10%
Student > Master 1 3%
Unknown 35 88%
Readers by discipline Count As %
Engineering 2 5%
Computer Science 1 3%
Agricultural and Biological Sciences 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Design 1 3%
Other 0 0%
Unknown 34 85%

Attention Score in Context

This research output has an Altmetric Attention Score of 453. 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 04 January 2020.
All research outputs
#28,258
of 16,007,413 outputs
Outputs from Lecture notes in computer science
#5
of 7,631 outputs
Outputs of similar age
#1,027
of 266,750 outputs
Outputs of similar age from Lecture notes in computer science
#1
of 89 outputs
Altmetric has tracked 16,007,413 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,631 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 99% 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 266,750 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 89 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 98% of its contemporaries.