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of 8
pro vyhledávání: '"Renaud Debon"'
Autor:
Mounir Dhibi, Renaud Debon
Publikováno v:
Artificial Intelligence and Soft Computing – ICAISC 2008 ISBN: 9783540695721
ICAISC
ICAISC
In this work we propose a new method for ultrasound imaging segmentation in objective to help doctors and specialists to interpret anatomical structure. The proposed method is based on fuzzy fusion theory in objective to extract the venous thrombosis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7691535f6792cfef5b9f9493ac82a9e
https://doi.org/10.1007/978-3-540-69731-2_73
https://doi.org/10.1007/978-3-540-69731-2_73
Autor:
Gwenaël Brunet, Renaud Debon, Jean-Michel Cauvin, Bassel Solaiman, Christian Roux, C. Le Guillou, John Puentes
Publikováno v:
2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
Telemedicine is a growing field and has to face various challenges like its integration to the medical practice and to the health care system, its economic implication and its social impact. This paper will focus on the technological aspects of telem
Autor:
P.H. Lim, L. Bressollette, Bassel Solaiman, Christian Roux, H.T. Chuah, B. Guias, Renaud Debon
Publikováno v:
2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
Venous thrombosis is a common pathology that creates serious problems in public health. The diagnosis of thromboses, particularly the determination of their relative ages can be efficiently accomplished by ultrasound imaging. This study intends to cl
Publikováno v:
Proceedings Multisensor, multisource information fusion : architectures, algorithms, and applications, April 23-25, Orlando,USA
Multisensor, multisource information fusion : architectures, algorithms, and applications, April 23-25, Orlando,USA
Multisensor, multisource information fusion : architectures, algorithms, and applications, April 23-25, Orlando,USA, Apr 2003, Orlando, United States. pp.123-132, ⟨10.1117/12.488375⟩
Multisensor, multisource information fusion : architectures, algorithms, and applications, April 23-25, Orlando,USA
Multisensor, multisource information fusion : architectures, algorithms, and applications, April 23-25, Orlando,USA, Apr 2003, Orlando, United States. pp.123-132, ⟨10.1117/12.488375⟩
The decision making systems make use of heterogeneous information to identify an object class or a target, which are affected by various kinds of imperfection. First, information issued from measures (radar measures, images) of an observation is repr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::174f6cc518dcb4a51a3cc68dda158bee
https://hal.archives-ouvertes.fr/hal-02128481
https://hal.archives-ouvertes.fr/hal-02128481
Publikováno v:
Proceedings of the First Joint BMES/EMBS Conference. 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Annual Fall Meeting of the Biomedical Engineering Society (Cat. No.99CH37015).
This paper discusses several aspects concerning a diagnosis aid system of esophagus tumors from endosonographic sequences. The question of the aid system role in the clinician diagnosis elaboration is discussed. After a general presentation of the ex
Publikováno v:
Proceedings of the 22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Cat. No.00CH37143).
We propose a detection method of esophagus outer wall from endosonographic sequences (composed of separate slices uniformly distributed), which minimizes the information alterations due to the cooperation of different models. The kernel of the propos
Publikováno v:
Data Mining and Knowledge Discovery: Theory, Tools, and Technology
In medical imaging, and more generally in medical information, researches go towards fusion systems. Nowadays, the steps of information source definition, the pertinent data extraction and the fusion need to be conducted as a whole. In this work, our
Publikováno v:
SPIE Proceedings.
Medical domain makes intensive use of information fusion. In particular, the gastro-enterology is a discipline where physicians have the choice between several imagery modalities that offer complementary advantages. Among all existing systems, videoe