Design and analysis of optimal algorithms for automated perimetry

Grant number: DP0450820

Abstract

Australian demographic studies reveal that visual impairment contributes significantly to disability in the elderly. Glaucoma, the second leading cause of blindness in developed nations, may be slowed if detected early, however recent studies estimate 50% of Australians with glaucoma are undiagnosed. Automated perimetry is used to detect and track such vision loss, but perimetry algorithms perform poorly. This project will design and analyse new algorithms with superior accuracy and efficiency, improving detection and monitoring of vision loss. Enhanced tools for community vision screening will also result, crucial for the ARC's priority goals of ?ageing well, ageing productively? and ?preve..

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