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A priori knowledge integration for the detection of cerebral aneurysm
1Université de Tunis El Manar, 1068 Tunis, Tunisia, Phone: +21698920893, Fax: +21676624610.
Abstract:
The detection of intracranial aneurysms is of a paramount effect in the prevention of cerebral subarachnoid hemorrhage. We propose in this paper, a new approach to detect cerebral aneurysm in digital subtraction angiography (DSA) images by fusing several sources of knowledge. After a brief description of a priori knowledge that the expert has provided about cerebral aneurysm, we propose a system architecture including fuzzy modeling and data fusion. The results on the studied cases are very promising.
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