Titlebook: Artificial Intelligence in Medicine; 11th Conference on A Riccardo Bellazzi,Ameen Abu-Hanna,Jim Hunter Conference proceedings 2007 Springer

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Artificial Intelligence in Medicine978-3-540-73599-1Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Tao Huang,Ivan Tjuawinata,Hongjun Wuans. Most MRF approaches handle tissues segmentation via global model estimation. Structure segmentation is then carried out as a separate task. We propose in this paper to consider MRF segmentation of tissues and structures as two local and cooperative procedures immersed in a multiagent framework.

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https://doi.org/10.1007/978-3-662-48116-5cally-dispersed teams in an environment characterized by insufficient information, ineffective collaboration and inadequate resources. Despite the increasing adoption of decision support systems in healthcare, there is limited evidence of their value in large-scale disasters. We conducted focus grou

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Alex Biryukov,Patrick Derbez,Léo Perrinenvironment. GERD represents a class of diseases that have a large number of clinical manifestations. Our model at once manages that complexity while offering robust automatic function in response to open-ended user actions. This ontologically grounded model is largely based on script-oriented repre

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