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1 ITACA 2 LaBRI - Laboratoire Bordelais de Recherche en Informatique

Abstract : Automated quantitative MR analysis has huge potential to better understand and detect many brain diseases where brain anatomy is altered. In the last years, this field has been subject to many advances. Techniques based on multi-atlas label fusion are currently the most successful ones. In this work we present a novel framework for automated brain volumetry analysis based on the non-local patch-based label fusion technique. To make this pipeline fully accessible to the scientific community we have developed a web-based interface that enables to process T1w MR brain images remotely without any user-s interaction in a very easy manner.





Autor: Jose Vicente Manjon - Pierrick Coupé -

Fuente: https://hal.archives-ouvertes.fr/



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