Breast Imaging
Springer International Publishing (Verlag)
978-3-319-07886-1 (ISBN)
Virtual Clinical Trials for the Assessment of Novel Breast Screening Modalities.- Computer-Aided Diagnosis for B-Mode, Elastography and Automated Breast Ultrasound.- Measurement and Clinical Use of Breast Density.- Low-Dose Molecular Breast Imaging - Diagnostic and Screening Applications in Women with Dense Breasts.- Will New Technologies Replace Mammography CAD as We Know It?.- Advanced Telecommunications in Breast Imaging - Streamlining Telemammography, Telepathology and Teleoncology Services to Improve Patient Care.- Predicting the Benefit of Using CADe in Screening Mammography.- Modeling Breast Cancer Screening Outcomes.- The Impact of Introducing Full Field Digital Mammography into a Screening Programme.- Fully Automated Nipple Detection in 3D Breast Ultrasound Images.- Breast Imaging with 3D Ultrasound Computer Tomography: Results of a First In-vivo Study in Comparison to MRI Images.- Factors Affecting Agreement between Breast Density Assessment Using Volumetric Methods and Visual Analogue Scales.- Breast Tissue Segmentation and Mammographic Risk Scoring Using Deep Learning.- Optimization of X-Ray Spectra for Dual-Energy Contrast-Enhanced Breast Imaging: Dependency on CsI Detector Scintillator Thickness.- Dose-Saving Potential of Linear- and Non-Linear Energy Weighting in Photon-Counting Spectral Mammography.- Compositional Three-Component Breast Imaging of Fibroadenoma and Invasive Cancer Lesions: Pilot Study.- Potential Usefulness of Presentation of Histological Classifications with Computer-Aided Diagnosis (CAD) Scheme in Differential Diagnosis of Clustered Microcalcifications on Mammograms.- Potential Usefulness of Breast Radiographers' Reporting as a Second Opinion for Radiologists' Reading in Digital Mammography.- Effective Detective Quantum Efficiency (eDQE) Measured for a Digital Breast Tomosynthesis System.- Comparison of SNDR, NPWE Model and Human Observer Results for Spherical Densities and Microcalcifications in Real Patient Backgroundsfor 2D Digital Mammography and Breast Tomosynthesis.- Assessing Radiologist Performance and Microcalcifications Visualization Using Combined 3D Rotating Mammogram (RM) and Digital Breast Tomosynthesis (DBT).- Digital Breast Tomosynthesis: Image Quality and Dose Saving of the Synthesized Image.- Patient Specific Dose Calculation Using Volumetric Breast Density for Mammography and Tomosynthesis.- Comparative Performance Evaluation of Contrast-Detail in Full Field Digital Mammography (FFDM) Systems Using Ideal (Hotelling) Observer versus Automated CDMAM Analysis.- Mammographic Density Effect on Readers' Performance and Visual Search Pattern.- Towards a Quantitative Measure of Radiographic Masking by Dense Tissue in Mammography.- Three Dimensional Dose Distribution Comparison of Simple and Complex Acquisition Trajectories in Dedicated Breast CT - A Monte Carlo Study.- Quantitative MRI Phenotyping of Breast Cancer across Molecular Classification Subtypes.- A Novel Framework for Fat, Glandular Tissue, Pectoral Muscle and Nipple Segmentation in Full Field Digital Mammograms.- Texture-Based Breast Cancer Prediction in Full-Field Digital Mammograms Using the Dual-Tree Complex Wavelet Transform and Random Forest Classification.- Evaluation of a New Design of Contrast-Detail Phantom for Mammography: CDMAM Model 4.0.- Threshold Target Thickness Calculated Using a Model Observer as a Quality Control Metric for Digital Mammography.- Contrast-Enhanced Digital Mammography Lesion Morphology and a Phantom for Performance Evaluation.- Stability of Volumetric Tissue Composition Measured in Serial Screening Mammograms.- Breast Density Classification Based on Volumetric Glandularity Measured by Spectral Mammography.- Is Volumetric Breast Density Related to Body Mass Index, Body Fat Mass, Waist-Hip Ratio, Age and Ethnicity for Malaysian Women?.- Automated Volumetric Breast Density Derived by Statistical Model Approach.- Volumetric Breast Density and Radiographic Parameters.- TheRelationship of Volume
| Erscheint lt. Verlag | 6.6.2014 |
|---|---|
| Reihe/Serie | Image Processing, Computer Vision, Pattern Recognition, and Graphics | Lecture Notes in Computer Science |
| Zusatzinfo | XXXVIII, 753 p. 370 illus. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 1193 g |
| Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Medizin / Pharmazie | |
| Schlagworte | Breast Cancer • Brustkrebs • Brustkrebs / Mammakarzinom • clustering and classification • digital breast tomosynthesis • Image Processing • Image Segmentation • machine learning • pattern recognition • Quality assurance • Support Vector Machines • x-ray computed tomography |
| ISBN-10 | 3-319-07886-0 / 3319078860 |
| ISBN-13 | 978-3-319-07886-1 / 9783319078861 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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