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Digital Mammography: Nijmegen, 1998 1998 ed. [Kõva köide]

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  • Formaat: Hardback, 519 pages, kõrgus x laius: 235x155 mm, kaal: 1075 g, XIV, 519 p., 1 Hardback
  • Sari: Computational Imaging and Vision 13
  • Ilmumisaeg: 31-Oct-1998
  • Kirjastus: Springer
  • ISBN-10: 0792352742
  • ISBN-13: 9780792352747
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  • Formaat: Hardback, 519 pages, kõrgus x laius: 235x155 mm, kaal: 1075 g, XIV, 519 p., 1 Hardback
  • Sari: Computational Imaging and Vision 13
  • Ilmumisaeg: 31-Oct-1998
  • Kirjastus: Springer
  • ISBN-10: 0792352742
  • ISBN-13: 9780792352747
Teised raamatud teemal:
In June 1998 the Fourth International Workshop on Digital Mammography was held in Nijmegen, The Netherlands, where it was hosted by the department of Radiology of the University Hospital Nijmegen. This series of meetings was initiated at the 1993 SPIE Biomedical Image Processing Conference in San Jose, USA, where a number of sessions were entirely devoted to mammographic image analysis. At very successful subsequent workshops held in York, UK (1994) and Chicago, USA (1996), the scope of the conference was broadened, establishing a platform for presentation and discussion of new developments in digital mammog­ raphy. Topics that are addressed at these meetings are computer-aided diagnosis, image processing, detector development, system design, observer performance and clinical evaluation. The goal is to bring researchers from universities, breast cancer experts, and engineers together, to exchange information and present new scientific developments in this rapidly evolving field. This book contains all the scientific papers and posters presented at the work­ shop in Nijmegen. Contributions came from as many as 20 different countries and 190 participants attended the meeting. At a technical exhibit companies demon­ strated new products and work in progress. Abstracts of all papers were reviewed by members of the scientific committee. Many of the accepted papers had excellent quality, but due to limited space not all of them could be included as full papers in these proceedings. Papers that were rated high by the reviewers are included as long or short papers, others appear as extended abstracts in the last chapter.

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Springer Book Archives
Preface xiii Digital Breast Imaging Techniques Development of full field digital mammography 3(8) M Yaffe Initial operating and clinical results of a full field mammography system 11(8) L Cheung R Bird A Chitkara A Rego C Rodriguez J Yuen Design considerations for a CdZnTe digital mammography system 19(8) JG Mainprize MJ Yaffe T Tumer S Yin WJ Hamilton High resolution mammography using a scanned slit silicon strip detector 27(4) E Beuville R Cahn B Cederstrom M Danielsson B Hasegawa M Lundqvist D Nygren A CCD Based Digital Detector for Whole-Breast Digital Mammography 31(4) L Smilowitz D Rosen H Qian W Phillips M Stanton A Stewart P Mangiafico P Simoni M Williams Evaluation of a digital mosaic mammographic imager 35(4) V Swarnakar ST Smith M Jeong H Kim D Wobschall Effects of varying exit exposure and energy spectrum on the conspicuity of calcifications and masses in digitally acquired mammograms of cadaveric breasts 39(4) D McElroy C Kimme-Smith N DeBruhl I Golding J Cutrone J Sayre Ultra-small focal spot x-ray sources for high resolution digital mammography 43(4) A Krol W Huda CC Chamberlain J Kieffer Z Jiang J Yu Evaluation of a digital spot mammographic unit using a contrast detail phantom 47(4) ES De Paredes PP Fatouros S Thunberg JF Cousins J Wilson T Sedgwick Digital breast tomosynthesis: Potentially a new method for breast cancer screening 51(6) LT Niklason BT Christian LE Niklason DB Kopans PJ Slanetz DE Castleberry BH Opsahl-Ong CE Landberg B. Giambattista Three dimensional visualization of breast cancer 57(6) A Maidment M Albert EF Conant SA Feig Detection of Masses Detecting the central mass of a spiculated lesion using scale-orientation signatures 63(8) R Zwiggelaar SM Astley CJ Taylor Comparison of methods for combining evidence for spiculated lesions 71(8) TC Parr R Zwiggelaar SM Astley CRM Boggis CJ Taylor A computer assisted diagnostic system for mass detection 79(8) W Qian L Li LP Clarke F Mao RA Clark J Thomas Tumor detection system for full-digital mammography 87(8) H Kobatake H Takeo S Nawano Combining single view features and asymmetry for detection of mass lesions. 95(8) N Karssemeijer GM te Brake Comparing mammogram pairs in the detection of lesions 103(8) S Kok-Wiles JM Brady RP Highnam Determining correspondence between views 111(8) RP Highnam Y Kita JM Brady BJ Shepstone RE English Comparison of three mass detection methods 119(8) GM te Brake N Karssemeijer N Classifying image features in the last screening mammograms prior to detection of a malignant mass 127(8) M Sameti J Morgan-Parkes RK Ward B Palcic Detection of spicules on mammograms based on multi-stage pendulum filter 135(4) M Goto A Morikawa H Fujita T Hara T Endo Development of a new algorithm for detection of mammographic masses 139(4) T Matsubara H Fujita T Hara S Kasai O Otsuka Y Hatanaka T Endo Computer-aided diagnosis of digital mammographic and ultrasound images of breast mass lesions 143(8) ML Giger Z Huo DE Wolverton C Vyborny C Moran R Schmidt H Al-Hallaq R Nishikawa K Doi Detection of Microcalcifications Evaluation of a neural network classifier for detection of microcalcifications and opacities in digital mammograms 151(6) JG Diahi A Giron D Brahmi C Frouge B Fertil Microcalcifications detection using adaptive filtering and gaussianity tests 157(8) MN Gurcan Y Yardimci AE Cetin Detection of microcalcification clusters in digital mammography via the spatial scan statistic with stochastic scan partitions 165(4) CE Priebe Improved correction for signal dependent noise applied to automatic detection of microcalcifications 169(8) W Veldkamp N Karssemeijer Modeling of digital mammograms using bicubic spline functions and additive noise 177(8) A Maitournam C Graffigne A Strauss Integration of low-level processing to facilitate microcalcification detection 185(4) M Poissonnier RP Highnam JM Brady BJ Shepstone RE English Development of a multi-feature CAD system for mammography 189(8) S Brown R Li L Brandt L Wilson G Kossoff M Kossoff Automated detection of clustered microcalcifications on digitized mammograms 197(4) D Fukuoka S Kasai H Fujita T Hara M Kato T Endo H Yoshimura Microcalcification detection system for full-digital mammography 201(4) H Kobatake H Takeo S Nawano Detection of mammoghraphic microcalcifications using a statistical model 205(4) E Cernadas R Zwiggelaar W Veldkamp TC Parr SM Astley CJ Taylor CRM Boggis Detection of subtle microcalcifications in digital mammograms 209(6) MJ Bottema JP Slavotinek Classification of Breast Lesions Benefits of computer-aided diagnosis in mammographic diagnosis of malignant and benign clustered microcalcifications 215(6) Y Jiang RM Nishikawa RA Schmidt CE Metz ML Giger K Doi Interactive quantitative characterization of microcalcifications on digitized film-screen mammograms 221(4) R Lederman I Leichter P Bamberger B Novak S Fields S Buchbinder Automated detection and classification of microcalcifications in mammograms using artificial neural nets 225(8) E Sorantin F Schmidt H Mayer P Winkler C Szepesvari E Graif E Schuetz Classification of microcalcifications using texture-based features 233(4) D Meersman P Scheunders D van Dyck Evaluation of a decision aid for the classification of microcalcifications 237(8) P Taylor J Fox A Todd-Pokropek Evidential approach to improved microcalcifications characterization 245(4) GL Rogova PC Stomper S Snowden C Ke V Swarnakar T Hameed Comparative evaluation of statistical pattern recognition techniques for the classification of breast lesions 249(4) RJ Ferrari AF Frere PMA Marques SK Kinoshita LAR Spina RL Villela Detection of breast tumor boundaries using iso-intensity contours and dynamic thresholding 253(8) D Guliato RM Rangayyan JA Zuffo JEL Desautels Mammographic region of interest database retrieval and indexing engine 261(6) S Gutta J Bala A Hadjarian S Trachiotis P Pachowicz BK Gogia Quantitative Analysis and Segmentation Quantitative interpretation of mammograms based on a physical model of the image formation process 267(8) JM Dinten JM Volle M Darboux Estimating compressed breast thickness 275(4) RP Highnam JM Brady BJ Shepstone Sites of occurrence of malignancies in mammograms 279(4) S Caulkin S Astley J Asquith C Boggis Simulated mammography using synthetic 3D breasts 283(8) P Taylor R Owens D Ingram Anatomic segmentation of mammograms via breast model 291(4) PR Bakic DP Brzakovic Z Zhu Multiresolution wavelet approach for separating the breast region from the background in high resolution digital mammography 295(4) JJ Heine M Kallergi SM Chetelat LP Clarke The fusion of supervised and unsupervised techniques for segmentation of abnormal regions 299(6) A Hadjarian J Bala S Gutta S Trachiotis P Pachowicz Image Processing and Display Mixture modeling for digital mammogram display and analysis 305(8) SR Aylward BM Hemminger ED Pisano Display of high-resolution digital mammograms on CRT monitors 313(8) T Netsch M Biel HO Peitgen Volume reconstruction of clustered microcalcifications in mammograms 321(8) T Muller R Stotzka A Hochmuth W Eppler H Gemmeke Maximum Entropy Improvement of X-ray Digital Mammograms 329(8) R Mutihac AA Colavita A Cicuttin A Cerdeira Differences in viewing time for mammograms displayed on film versus a CRT monitor 337(10) E Krupinski Observer Performance and Prompting Prompting in mammography: how good must prompt generators be? 347(8) SM Astley R Zwiggelaar C. Wostenholme K. Davies TC Parr CJ Taylor Evaluation of a prompting system using interval cancers 355(4) S Heddle AC Hume AE Kirkpatrick Computer-aided cancer detection in the UK breast screening programme 359(4) LJ Williams RJ Prescott M Hartswood Prompting in practice: How can we ensure radiologists make best use of computer-aided detection systems in screening mammography 363(8) M Hartswood R Procter LJ Williams Non-radiologists and CAD systems in breastcancer screening 371(4) H Cowley AG Gale CAD implementation: Implications from real life visual search of screening cases 375(8) MD Mugglestone AG Gale Mammographic screening sensitivity of general radiologists 383(8) RA Schmidt GM Newstead MN Linver GW Eklund CE Metz MN Winkler RM Nishikawa Clinical Impact of Digital Mammography Initial clinical experience with full field digital mammography 391(4) ED Pisano Clinical results with R2 imagechecker system 395(6) J Roehrig T Doi A Hasegawa B Hunt J Marshall H Romsdahl A Schneider R Sharbaugh W Zhang Prospective testing of a clinical mammography workstation for CAD: Analysis of the first 10,000 cases 401(6) RM Nishikawa ML Giger DE Wolverton RA Schmidt CE Comstock J Papaioannou SA Collins K Doi Performance studies of a computer-aided diagnostic system on mammograms 407(4) T Hara H Fujita T Endo T Iwase H Yoshimura Direct magnification radiography of the breast in combination with computed radiography: first clinical results 411(4) C Hundertmark N Breitner M Wiese M Funke KP Hermann E Grabbe A framework for computer aided mammographic screening for breast cancer 415(4) F Georgsson S Carlson Computerized analysis of digitized mammograms of women with low breast cancer risk and of BRCA1 gene-mutation carriers 419(4) Z Huo ML Giger OI Olopade DE Wolverton S Cummings W Zhong K Doi Comparison of analog and digital spot magnified mammography 423(4) GM Newstead MT Josien CA Gelfand CM Slywotzky HK Toth Breast Cancer Screening Results 427(10) I Andersson Image Quality and Compression Acceptance testing and quality control of digital mammography equipment 437(8) GE Mawdsley MJ Yaffe ADA Maidment L Niklason M Williams BM Hemminger An automated quality control program for whole breast digital image receptors 445(4) C Kimme-Smith C Lewis L Yang LW Bassett Management and lesion detection effects of lossy image compression on digitized mammograms 449(8) BJ Betts A Aiyer J Li D Ikeda R Birdwell RM Gray RA Olshen Current status of the digital database for screening mammography 457(4) M Heath K Bowyer D Kopans P Kegelmeyer Jr R Moore K Chang S Munishkumaran Image standardization for digital mammography 461(4) RP Velthuizen LP Clarke Automated detection of microcalcifications after lossy compression of digital mammograms 465(10) T Netsch M Lang HO Peitgen Extended Abstracts Automatic detection of clustered microcalcifications using morphological reconstruction 475(2) JM Mossi A Albiol Microcalcification evaluation based on shape parameters 477(2) J Espanol C Barcelo J Marti M Osorio S Thio F Castaner J Forest R Garcia J Salvi An automatic non-deforming technique for selective microcalcifications enhancement 479(2) E Cernadas L Gomez PG Rodriguez RG Carrion C Veiga ML Duran JJ Vidal The auto detection of cluster micro-calcifications in digital mammograms using texture energy 481(2) AR Al-Hinnawi PE Undrill G Needham Precise segmentation of calcifications for reliable computerized diagnosis 483(2) J Nappi PB Dean T Ojala O Nevalainen S Toikkanen Performance evaluation for automated detection of microcalcifications in mammograms using three different film-digitizers 485(2) P Winkler E Sorantin A Tanacs F Schmidt H Mayer C Szepesvari A neural network based method selecting Gabor wavelet filters for the detection of microcalcifications 487(2) A Schenone S Carrara G Mascetti Detection and characterization of mammographic masses by artificial neural network 489(2) SK Kinoshita PMA Marques AFF Slaets HRC Marana RJ Ferrari RL Villela Clinical comparison of full breast storage phosphor digital mammography and film-screen mammography - A receiver operating characteristic study 491(2) M Freedman DS Artz JP Hogge H Jafroudi RA Zuurbier R Katial SK Mun Computer-aided detection (CAD) of breast cancer-diagnostic performance of a further improved system 493(2) A Hochmuth M Fleck C Minkus T Boehm C Marx WA Kaiser Comparison of conventional and secundarily digitized mammograms by ROC-analysis to evaluate a computer system for digital routine mammography 495(2) Ch Marx Ch Geßner M Fleck T Bohm A Hochmuth WA Kaiser 3D reconstruction of clusters of mammary microcalcifications 497(2) R Gresson D Wolf J Stines The CALMA project 499(2) SR Amendolia MG Bisogni U Bottigli MA Ciocci P Delogu ME Fantacci P Maestro VM Marzulli E Pernigotti N Romeo V Rosso A Samaritani A Stefanini S Stumbo Are there quantifiable reasons for a radiologists preference for an intensity inverted mammogram? 501(2) JR Claesen-Finn ASK Dzik-Jurasz A Sharma RI Kitney The need to standardize and calibrate databases of digitized mammograms 503(2) R Chandrasekhar Y Attikiouzel Diagnostic accuracy of digitized mammograms versus film-screen mammograms 505(2) K Powell N Obuchowski M Barry C Quinn K Drummond W Chilcote A low cost computer assisted mammography workstation 507(2) R Stotzka T Muller W Eppler H Gemmeke X-ray imaging with a silicon microstrip detector 509(2) T Mali V Cindro M Mikuz U Zdesar System considerations for satellite transmission of digitized mammograms 511(2) D Neth K Powell N Obuchowski S Ganobcik G Cardinosa W Chilcote R Kerczewski P Mallasch Mobile breast care using DICOM satellite tele-mammography prompt-interpretation system 513(2) KE Dudding P Andrews A Abdel-Malek Author index 515