TY  - BOOK
AU  - 
AU  - 
AU  - 
AU  - 
ED  - SpringerLink (Online service)
TI  - Digital Mammography: 8th International Workshop, IWDM 2006, Manchester, UK, June 18-21, 2006. Proceedings 
T2  - Lecture Notes in Computer Science,
SN  - 9783540356271
AV  - TA1637-1638 
U1  - 006.6 23
PY  - 2006///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg
KW  - Computer science
KW  - Medical records
KW  - Data processing
KW  - Radiology, Medical
KW  - Information storage and retrieval systems
KW  - Computer vision
KW  - Optical pattern recognition
KW  - Bioinformatics
KW  - Computer Science
KW  - Image Processing and Computer Vision
KW  - Health Informatics
KW  - Imaging / Radiology
KW  - Information Storage and Retrieval
KW  - Pattern Recognition
N1  - Breast Density -- CAD -- Clinical Practice -- Tomosynthesis -- Registration and Multiple View Mammography -- Physics Models -- Poster Session -- Wavelet Methods -- Full-Field Digital Mammography -- Segmentation; ZDB-2-SCS; ZDB-2-LNC
N2  - This volume of Springers Lecture Notes in Computer Science series records th the proceedings of the 8 International Workshop on Digital Mammography (IWDM), which was held in Manchester, UK, June 1821, 2006. The meetings bringtogetheradiversesetofresearchers(physicists,mathematicians,computer scientists, engineers), clinicians (radiologists, surgeons) and representatives of industry, who are jointly committed to developing technology, not just for its ownsake,but to supportclinicians inthe earlydetection andsubsequentpatient management of breast cancer. The conference series was initiated at a 1993 meeting of the SPIE in San Jose, with subsequent meetings hosted every two years by researchers around the world. Previous meetings were held in York, Chicago, Nijmegen, Toronto, Bremen, and North Carolina. It is interesting to re?ect on the changes that have occurred during the past 13 years. Then, the dominant technology was ?lm-screen mammography; now it is full-?eld digital mammography. Then, there were few screening programmes world-wide; now there are many. Then, there was the hope that computer-aided detection (CAD) of early signs of cancer might be possible; now CAD is not only a reality but (more importantly) a commercially led clinical reality. Then, algorithmswerealmostentirelyheuristicwithlittleclinicalsupport;nowthereis arequirementforsubstantialclinicalsupportforanyalgorithmthatisdeveloped and published. However, upon re?ection, could we have predicted with absolute certainty what would be the key questions to be addressed over the subsequent (say) six years? No! That is the nature, joy, and frustration of research. There are more blind alleys to explore than there are rich veins that bring gold (in all senses of that analogy!)
UR  - http://dx.doi.org/10.1007/11783237
ER  -