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» Bridging the Gap: Enabling CBIR in Medical Applications
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ICIP
2002
IEEE
14 years 9 months ago
Semantic based categorization, browsing and retrieval in medical image databases
Content-based retrieval (CBIR) methods in medical databases have been designed to support specific tasks, such as retrieval of digital mammograms or 3D MRI images. These methods c...
Aleksandra Mojsilovic, José Gomes
AIME
2005
Springer
14 years 1 months ago
MHB - A Many-Headed Bridge Between Informal and Formal Guideline Representations
Clinical guidelines are becoming more and more important as a means to improve the quality of care by supporting medical staff. Modelling guidelines in a computer-processable form ...
Andreas Seyfang, Silvia Miksch, Cristina Polo-Cond...
CBMS
2009
IEEE
13 years 11 months ago
Medical image processing workflow support on the EGEE grid with taverna
Resource-intensive and complex medical imaging applications can benefit from the use of scientific workflow technology for their design, rapid implementation and reuse, but at the...
Ketan Maheshwari, Carole A. Goble, Paolo Missier, ...
IFIP8
2007
13 years 9 months ago
A Hybrid Approach for Business Process Verification
Business Process Verification (BPV) is increasingly important in emerging BPM Systems. Although many approaches related to BPV exist, the gap between formal models defined in previ...
Bing Li, Junichi Iijima
AIRS
2006
Springer
13 years 11 months ago
A Semantic Fusion Approach Between Medical Images and Reports Using UMLS
One of the main challenges in content-based image retrieval still remains to bridge the gap between low-level features and semantic information. In this paper, we present our first...
Daniel Racoceanu, Caroline Lacoste, Roxana Teodore...