Microaneurysm Detection in Colour Fundus Images
نویسندگان
چکیده
Diabetic retinopathy is the leading cause of blindness in the western working age population and microaneurysms are one of the first pathologies associated with diabetic retinopathy. We have developed a prototype microaneurysm detection system for non-mydriatic colour fundus images. Candidate microaneurysms are located by a standard method that enhances small round features after background intensity correction. Each candidate is then classified based on colour and standard morphological features. New non-linear feature combinations were also investigated. Various classification methods were trialed to determine the most effective and efficient. A microaneurysm detection sensitivity of 56% at 5.7 false positives per image was achieved.
منابع مشابه
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