Can GRID services provide answers to the challenges of national health information sharing?
CASCON '03 Proceedings of the 2003 conference of the Centre for Advanced Studies on Collaborative research
Heterogeneous Medical Data Share and Integration on Grid
BMEI '08 Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics - Volume 01
Agent-Based Data Loading Method in MedImGrid
NISS '09 Proceedings of the 2009 International Conference on New Trends in Information and Service Science
MIGP: medical image grid platform based on HL7 grid middleware
ADVIS'06 Proceedings of the 4th international conference on Advances in Information Systems
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Silicosis is one of the most serious occupational diseases in China. Radiologist information comes from chest radiographs, in which the most important parts are lung fields and ribs. It is necessary to distinguish lung fields and ribs from other organs. The anatomical knowledge-based lung segmentation can improve the accuracy of segmentation and solve the problems of opened region and lost clavicle region. The curve model-based rib segmentation can acquire more accurate rib location information, and provide more efficient orientation for latter diagnosis. These two methods are also deployed in grid environment to get higher efficiency when processing massive and distributed medical data for silicosis diagnosis. Experiments show that the two proposed algorithms can meet the latter medical requirements for chest radiograph with higher accuracy.