Abstract
The goal of this paper is to present a distributed tool for the medical community. This tool is called VACODIS (VA scular CO llaborative tele DI agnosi S) enables to identification and quantification of the potential cardiovascular complications of a patient in a semi-automatic way. The first step consists of producing an automatic detection of cardiovascular abnormalities from Echo-Doppler images. The second step shares in a collaborative and adaptive way images and results from the first step. This sharing eases a collaborative diagnosis. Thus, this method enables multiple distant hospital workers (nurses, practitioners …) to contribute to a collaborative diagnosis in the cardiovascular domain.
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Sánchez Santana, M.A., Aupet, JB., Betbeder, ML., Lapayre, JC., Camarena Ibarrola, J.A. (2012). Adaptive Collaborative Environment for Vascular Problems Telediagnosis. In: Bravo, J., Hervás, R., Rodríguez, M. (eds) Ambient Assisted Living and Home Care. IWAAL 2012. Lecture Notes in Computer Science, vol 7657. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35395-6_1
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