Obiettivo The objective of the project is to develop image classifiers using neural networks based on the neurocomputer SYNAPSE1. This includes refinement of a graphical user interface called ECANSE for rapid prototyping.Applications have been chosen from very different fields including magnetic resonance imaging, microcalcification detection in mammography and remote image processing. Use of the neurocomputer can speed up applications involving neural nets by up to three orders of magnitude. In particular research with large neural nets is feasible only with such specialised hardware. The tasks of this project are:- Development of the SYNAPSE Toolbox as part of the ECANSE graphical programming environment.- Definition and labelling of representative medical and satellite images.- Evaluation of different network types for applications.- Development of a demonstrator for classifying microcalcifications in X-Ray images to find regions of interest more quickly.- Development of a demonstrator for segmentation of MR Images of the brain.- Implementation of neural network applications on the neurocomputer SYNAPSE1 to reduce the learning time by up to three orders of magnitude. http://www.sni.de Campo scientifico engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringsatellite technologymedical and health sciencesclinical medicineoncologybreast cancerengineering and technologymedical engineeringdiagnostic imagingmagnetic resonance imagingnatural sciencescomputer and information sciencesartificial intelligencecomputational intelligence Programma(i) FP3-ESPRIT 3 - Specific research and technological development programme (EEC) in the field of information technologies, 1990-1994 Argomento(i) 6 - High performance computing and networking Invito a presentare proposte Data not available Meccanismo di finanziamento Data not available Coordinatore Siemens Nixdorf Advanced Technology Contributo UE Nessun dato Indirizzo Otto-Hahn-Ring 6 81739 Munich Germania Mostra sulla mappa Costo totale Nessun dato Partecipanti (4) Classifica in ordine alfabetico Classifica per Contributo UE Espandi tutto Riduci tutto Centro Informazioni Studi ed Esperienze SpA Italia Contributo UE Nessun dato Indirizzo Mostra sulla mappa Costo totale Nessun dato SIEMENS AG Germania Contributo UE Nessun dato Indirizzo Wittelsbacher Platz 2 Mostra sulla mappa Costo totale Nessun dato Technical University Vienna Austria Contributo UE Nessun dato Indirizzo Mostra sulla mappa Costo totale Nessun dato University Hospital Graz Austria Contributo UE Nessun dato Indirizzo Mostra sulla mappa Costo totale Nessun dato
