Digital Mammography

Evaluation of a Digital Mosaic Mammography Imager

Seiten 35-38

Swarnakar, Vivek (et al.)

Effects of Varying Exit Exposure and Energy Spectrum on the Conspicuity of Calcifications and Masses in Digitally Acquired Mammograms of Cadaveric Breasts

Seiten 39-42

McElroy, David (et al.)

Ultra-Small Focal Spot X-Ray Sources for High Resolution Digital Mammography

Seiten 43-46

Krol, Andrzej (et al.)

Evaluation of a Digital Spot Mammographic Unit Using a Contrast Detail Phantom

Seiten 47-50

Paredes, Ellen Shaw, M.D. (et al.)

Digital Breast Tomosynthesis: Potentially a New Method for Breast Cancer Screening

Seiten 51-56

Niklason, Loren T. (et al.)

Three-Dimensional Visualization of Breast Cancer

Seiten 57-60

Maidment, Andrew D. A. (et al.)

Detecting the Central Mass of a Spiculated Lesion Using Scale-Orientation Signatures

Seiten 63-70

Zwiggelaar, Reyer (et al.)

Comparison of Methods for Combining Evidence for Spiculated Lesions

Seiten 71-78

Parr, Tim (et al.)

A Computer Assisted Diagnostic System for Mass Detection

Seiten 79-86

Qian, Wei (et al.)

Tumor Detection System for Full-Digital Mammography

Seiten 87-94

Kobatake, Hidefumi (et al.)

Combining Single View Features and Asymmetry for Detection of Mass Lesions

Seiten 95-102

Karssemeijer, Nico (et al.)

Comparing Mammogram Pairs for the Detection of Lesions

Seiten 103-110

Kok-Wiles, Siew-Li (et al.)

Determining Correspondence Between Views

Seiten 111-118

Highnam, R. (et al.)

Comparison of Three Mass Detection Methods

Seiten 119-126

Brake, Guido M. (et al.)

Classifying Image Features in the Last Screening Mammograms Prior to Detection of a Malignant Mass

Seiten 127-134

Sameti, Mohammad (et al.)

Detection of Spicules on Mammograms Based on a Multistage Pendulum Filter

Seiten 135-138

Goto, Miki (et al.)

Development of a New Algorithm for Detection of Mammographic Masses

Seiten 139-142

Matsubara, Tomoko (et al.)

Computer-Aided Diagnosis of Digital Mammography and Ultrasound Images of Breast Mass Lesions

Seiten 143-147

Giger, Maryellen L. (et al.)

Evaluation of a Neural Network Classifier for Detection of Microcalcifications and Opacities in Digital Mammograms

Seiten 151-156

Diahi, Jacques G. (et al.)

Microcalcifications Detection Using Adaptive Filtering and Gaussianity Tests

Seiten 157-164

Nafı Gürcan, M. (et al.)

Detection of Microcalcification Clusters in Digital Mammography Via the Spatial Scan Statistic with Stochastic Scan Partitions

Seiten 165-168

Priebe, Carey E.

Improved Correction for Signal Dependent Noise Applied to Automatic Detection of Microcalcifications

Seiten 169-176

Veldkamp, Wouter J. H. (et al.)

Modeling of Digital Mammograms Using Bicubic Spline Functions and Additive Noise

Seiten 177-184

Maitournam, A. (et al.)

Integration of Low-Level Processing to Facilitate Microcalcification Detection

Seiten 185-188

Poissonnier, M. (et al.)

Development of a Multi-Feature Cad System for Mammography

Seiten 189-196

Brown, S. (et al.)

Automated Detection of Clustered Microcalcifications on Digitized Mammograms

Seiten 197-200

Fukuoka, Daisuke (et al.)

Microcalcification Detection System for Full-Digital Mammography

Seiten 201-204

Kobatake, Hidefumi (et al.)

Detection of Mammographic Microcalcifications Using a Statistical Model

Seiten 205-208

Cernadas, Eva (et al.)

Detection of Subtle Microcalcifications in Digital Mammograms

Seiten 209-212

Bottema, Murk J. (et al.)

Benefits of Computer-Aided Diagnosis (CAD) in Mammographic Diagnosis of Malignant and Benign Clustered Microcalcifications

Seiten 215-220

Jiang, Yulei (et al.)

Interactive Quantitative Characterization of Micro-Calcifications on Digitized Film-Screen Mammograms

Seiten 221-224

Lederman, Richard (et al.)

Automated Detection and Classification of Micro-Calcifications in Mammograms Using Artifical Neural Nets

Seiten 225-232

Sorantin, Erich (et al.)

Classification of Microcalcifications Using Texture-Based Features

Seiten 233-236

Meersman, Dirk (et al.)

Evaluation of a Decision Aid for the Classification of Microcalcifictions

Seiten 237-244

Taylor, Paul (et al.)

Evidential Approach to Improved Microcalcification Characterization

Seiten 245-248

Rogova, Galina L. (et al.)

Comparative Evaluation of Statistical Pattern Recognition Techniques for the Classification of Breast Lesions

Seiten 249-252

Ferrari, R. J. (et al.)

Detection of Breast Tumor Boundaries Using ISO-Intensity Contours and Dynamic Thresholding

Seiten 253-260

Guliato, Denise (et al.)

Mammographic Region of Interest Database Retrieval and Indexing Engine

Seiten 261-264

Gutta, Srinivas (et al.)

Quantitative Interpretation of Mammograms Based on a Physical Model of the Image Formation Process

Seiten 267-274

Dinten, J. M. (et al.)

Estimating Compressed Breast Thickness

Seiten 275-278

Highnam, Ralph (et al.)

Sites of Occurrence of Malignancies in Mammograms

Seiten 279-282

Caulkin, Steven (et al.)

Simulated Mammography Using Synthetic 3D Breasts

Seiten 283-290

Taylor, Paul (et al.)

Anatomic Segmentation of Mammograms Via Breast Model

Seiten 291-294

Bakić, P. (et al.)

Multiresolution Wavelet Approach for Separating the Breast Region from the Background in High Resolution Digital Mammography

Seiten 295-298

Heine, John J. (et al.)

The Fusion of Supervised and Unsupervised Techniques for Segmentation of Abnormal Regions

Seiten 299-302

Hadjarian, Ali (et al.)

Mixture Modeling for Digital Mammogram Display and Analysis

Seiten 305-312

Aylward, Stephen R. (et al.)

Display of High-Resolution Digital Mammograms on CRT Monitors

Seiten 313-320

Netsch, Thomas (et al.)

Volume Reconstruction of Clustered Micro-Calcifications in Mammograms

Seiten 321-328

Müller, T. (et al.)

Maximum Entropy Improvement of X-Ray Digital Mammograms

Seiten 329-336

Mutihac, Radu (et al.)

Differences in Viewing Time for Mammograms Displayed on Film Versus a CRT Monitor

Seiten 337-343

Krupenski, Elizabeth A.

Prompting in Mammography: How Good Must Prompt Generators Be?

Seiten 347-354

Astley, Sue (et al.)

Evaluation of a Prompting System Using Interval Cancers

Seiten 355-358

Heddle, S. (et al.)

Computer-Aided Cancer Detection in the UK Breast Screening Programme

Seiten 359-362

Williams, Linda J. (et al.)

Prompting in Practice: How Can We Ensure Radiologists Make Best Use of Computer-Aided Detection Systems in Screening Mammography?

Seiten 363-370

Hartswood, M. (et al.)

Non-Radiologists and CAD Systems in Breast Cancer Screening

Seiten 371-374

Cowley, Helen C. (et al.)

CAD Implementation: Implications from Real Life Visual Search of Screening Cases

Seiten 375-382

Mugglestone, M. D. (et al.)

Mammographic Screening: Sensitivity of General Radiologists

Seiten 383-388

Schmidt, Robert A. (et al.)

Initial Clinical Experience with Full Field Digital Mammography

Seiten 391-394

Pisano, Etta D.

Clinical Results with R2 Imagechecker System

Seiten 395-400

Roehrig, Jimmy (et al.)

Prospective Testing of a Clinical Mammography Workstation for CAD: Analysis of the First 10,000 Cases

Seiten 401-406

Nishikawa, Robert M. (et al.)

Performance Studies of a Computer-Aided Diagnostic System on Mammograms

Seiten 407-410

Hara, Takeshi (et al.)

Direct Magnification Radiography of the Breast in Combination with Computed Radiography: First Clinical Results

Seiten 411-414

Hundertmark, Christina, MD (et al.)

A Framework for Computer Aided Mammographic Screening for Breast Cancer

Seiten 415-418

Georgsson, Fredrik (et al.)

Computerized Analysis of Digitized Mammograms of Women with Low Breast Cancer Risk and of BRCA1/BRCA2 Gene-Mutation Carriers

Seiten 419-422

Huo, Zhimin (et al.)

Comparison of Analog and Digital Spot Magnified Mammography

Seiten 423-426

Newstead, Gillian M. (et al.)

Breast Cancer Screening Results

Seiten 427-433

Andersson, Ingvar

Acceptance Testing and Quality Control of Digital Mammography Equipment

Seiten 437-444

Mawdsley, Gordon E. (et al.)

An Automated Quality Control Program for Whole Breast Digital Image Receptors

Seiten 445-448

Kimme-Smith, Carolyn (et al.)

Management and Lesion Detection Effects of Lossy Image Compression on Digitized Mammograms

Seiten 449-456

Betts, B. J. (et al.)

Current Status of the Digital Database for Screening Mammography

Seiten 457-460

Heath, M. (et al.)

Image Standardization for Digital Mammography

Seiten 461-464

Velthuizen, Robert P. (et al.)

Automated Detection of Microcalcifications after Lossy Compression of Digital Mammograms

Seiten 465-472

Netsch, Thomas (et al.)

Automatic Detection of Clustered Microcalcifications Using Morphological Reconstruction

Seiten 475-476

Mossi, Jose M. (et al.)

Microcalcification Evaluation Based on Shape Parameters

Seiten 477-478

Español, J. (et al.)

An Automatic Non-Deforming Technique for Selective Microcalcifications Enhancement

Seiten 479-480

Cernadas, E. (et al.)

The Auto Detection of Cluster Micro-Calcifications in Digital Mammograms Using Texture Energy

Seiten 481-482

Al-Hinnawi, A. R. (et al.)

Precise Segmentation of Calcifications for Reliable Computerized Diagnosis

Seiten 483-484

Näppi, Janne (et al.)

Performance-Evaluation for Automated Detection of Microcalcifications in Mammograms Using Three Different Film-Digitizers

Seiten 485-486

Winkler, Peter (et al.)

A Neural Network Based Method Selecting Gabor Wavelet Filters for the Detection of Microcalcifications

Seiten 487-488

Schenone, A. (et al.)

Detection and Characterization of Mammographic Masses by Artificial Neural Network

Seiten 489-490

Kinoshita, S. K. (et al.)

Clinical Comparison of Full Breast Storage Phosphor Digital Mammography and Film-Screen Mammography — A Receiver Operating Characteristic Study

Seiten 491-492

Freedman, Matthew, MD (et al.)

Computer-Aided Detection (CAD) of Breast-Cancer — Diagnostic Performance of a Further Improved System

Seiten 493-494

Hochmuth, A. (et al.)

Comparison of Conventional and Secondarily Digitized Mammograms by ROC — Analysis to Evaluate a Computer System for Digital Routine Mammography

Seiten 495-496

Marx, Ch. (et al.)

3D Reconstruction of Clusters of Mammary Microcalcifications

Seiten 497-498

Gresson, Regis (et al.)

The Calma Project

Seiten 499-500

Amendolia, S. R. (et al.)

Are There Quantifiable Reasons for a Radiologist’s Preference for an Intensity Inverted Mammogram?

Seiten 501-502

Claesen-Finn, J. Rebecca (et al.)

The Need to Standardize and Calibrate Databases of Digitized Mammograms

Seiten 503-504

Chandrasekhar, R. (et al.)

Diagnostic Accuracy of Digitized Mammograms Versus Film-Screen Mammograms

Seiten 505-506

Powell, Kimerly (et al.)

A Low Cost Computer Assisted Mammography Workstation

Seiten 507-508

Stotzka, R. (et al.)

X-Ray Imaging with a Silicon Microstrip Detector

Seiten 509-510

Mali, T. (et al.)

System Considerations for Satellite Transmission of Digitized Mammograms

Seiten 511-512

Neth, Donald (et al.)

Mobile Breast Care Using DICOM Satellite Telemammography Prompt-Interpretation System

Seiten 513-514

Dudding, Kathryn Eike (et al.)