A Cloud Based Medical Image Repository

Speaker: Diaa el Rifai

Affiliation: University of Western Sydney

Time: Monday 05/03/2012 from 14:00 to 15:00

Venue: Access Grid UWS. Presented from Campbelltown (26.1.50), accessible from Parramatta (EB.1.32) and Penrith (Y239).

Abstract: Many widely used digital medical image collections have been established but these are generally used as raw data sources without related image analysis toolsets. Our Automated Medical Image Collection Annotation (AMICA) system is both an image repository, to which the research community can contribute image datasets, and a search/retrieval system that uses automated image annotation. AMICA was designed for the Windows Azure platform to leverage the flexibility and scalability of the cloud. It is intended that AMICA will expand beyond its initial pilot implementation (for brain MR images and mammograms) to accommodate a wide range of modalities and anatomical regions.

Biography: Diaa is a PhD student in the School of Computing, Engineering and Mathematics at the University of Western Sydney.