Medical imaging demonstrator on a distributed virtual organisation

In several fields of the healthcare, there is a wide use of imaging techniques for diagnostic purposes, which usually lead to the acquisition of large sequences of images that are not easily analysed by the experts. The automatic processing of the events monitored represents an important support for the diagnosis. In this paper, we present a distributed decision support system for image classification based on neural networks. The applications presented are multidisciplinary, computational intensive and component based; therefore, a virtual organisation exploiting the GRID paradigm has been introduced in order to guarantee good performances of the diagnostic procedure and reliable results.