Information fusion, application to data and model fusion for ultrasound image segmentation
B Solaiman, R Debon, F Pipelier… - IEEE Transactions …, 1999 - ieeexplore.ieee.org
B Solaiman, R Debon, F Pipelier, JM Cauvin, C Roux
IEEE Transactions on biomedical engineering, 1999•ieeexplore.ieee.orgNowadays, 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 …
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 …
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.
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