Image mining in IRIS: integrated retinal information system

Authors:
Wynne Hsu;Mong Li Lee;Kheng Guan Goh
Affiliations:
School of Computing, National University of Singapore, Lower Kent Ridge Road, Singapore;School of Computing, National University of Singapore, Lower Kent Ridge Road, Singapore;School of Computing, National University of Singapore, Lower Kent Ridge Road, Singapore
Venue:
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Year:
2000

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Abstract

There is an increasing demand for systems that can automatically analyze images and extract semantically meaningful information. IRIS, an Integrated Retinal Information system, has been developed to provide medical professionals easy and unified access to the screening, trend and progression of diabetic-related eye diseases in a diabetic patient database. This paper shows how mining techniques can be used to accurately extract features in the retinal images. In particular, we apply a classification approach to determine the conditions for tortuousity in retinal blood vessels.