A Smartphone-Based Screening System
Diabetic Retinopathy (DR) is one of the leading causes of blindness worldwide. In Malaysia, access to DR screening has been limited, especially in rural areas where advanced ophthalmic diagnostic tools are scarce and costly.
According to the Health Assessment Unit of the Ministry of Health, comprehensive DR screening involves vision assessment and retinal examination, typically using expensive equipment. For instance, a conventional fundus camera costs around RM100,000 per unit and a digital camera that captures a clear view of the eye could cost upwards of RM120,000.
In a landmark development for rural healthcare, Universiti Malaysia Sarawak (UNIMAS) has created a Smartphone-Based Diabetic Retinopathy (DR) Screening System Using Deep Learning CNN Classification, a groundbreaking tool that promises to revolutionise eye care accessibility. This innovative project, which recently won the prestigious Research & Development Award under the Sarawak Digital Economy Awards (DEA) 2024.
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A Smartphone-Based Screening System
