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Information fusion, application to data and model fusion for ultrasound image segmentation

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5 Author(s)
B. Solaiman ; ENST de Bretagne, Brest, France ; R. Debon ; F. Pipelier ; J. -M. Cauvin
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Nowadays, information fusion constitutes a challenging research topic. The authors' study proposes to achieve the fusion of several knowledge sources. This, in order to detect the esophagus inner wall from ultrasound medical images. After a brief description of information fusion concepts, the authors propose a system architecture including both model and data fusion. The data fusion is accomplished using fuzzy modeling, which can be seen as a monosensor/multiple sources data fusion system. The model fusion is performed using a full-adapted snake theory, which projects the fuzzy decision into the binary decision space.

Published in:

IEEE Transactions on Biomedical Engineering  (Volume:46 ,  Issue: 10 )