Breast Imaging

Lieferzeit: Lieferbar innerhalb 14 Tagen

106,99 

12th International Workshop, IWDM 2014, Gifu City, Japan, June 29 – July 2,2014, Proceedings, Lecture Notes in Computer Science 8539 – Image Processing, Computer Vision, Pattern Recognition, and Graphics

ISBN: 3319078860
ISBN 13: 9783319078861
Herausgeber: Hiroshi Fujita/Takeshi Hara/Chisako Muramatsu
Verlag: Springer Verlag GmbH
Umfang: xxxviii, 753 S., 370 s/w Illustr., 753 p. 370 illus.
Erscheinungsdatum: 06.06.2014
Auflage: 1/2014
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 6676408 Kategorie:

Beschreibung

InhaltsangabeVirtual 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 Backgrounds for 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.- The Relationship of Volu

Herstellerkennzeichnung:


Springer Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

E-Mail: juergen.hartmann@springer.com

Das könnte Ihnen auch gefallen …