Automatic detection of microaneurysms in diabetic retinopathy fundus images using the L*a*b color space

Journal of the Optical Society of America. A, Optics, Image Science, and Vision
Pedro J NavarroKostas Stathis

Abstract

We develop an automated image processing system for detecting microaneurysm (MA) in diabetic patients. Diabetic retinopathy is one of the main causes of preventable blindness in working age diabetic people with the presence of an MA being one of the first signs. We transform the eye fundus images to the L*a*b* color space in order to separately process the L* and a* channels, looking for MAs in each of them. We then fuse the results, and last send the MA candidates to a k-nearest neighbors classifier for final assessment. The performance of the method, measured against 50 images with an ophthalmologist's hand-drawn ground-truth, shows high sensitivity (100%) and accuracy (84%), and running times around 10 s. This kind of automatic image processing application is important in order to reduce the burden on the public health system associated with the diagnosis of diabetic retinopathy given the high number of potential patients that need periodic screening.

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Citations

Oct 26, 2016·Scientifica·Javeria AminMussarat Yasmin
Aug 31, 2019·Acta Ophthalmologica·Eduardo Munuera-GifreGabriel Coll-de-Tuero
Jul 15, 2016·Journal of the Optical Society of America. A, Optics, Image Science, and Vision·Chengyin LiuJun Huang
Feb 3, 2021·Journal français d'ophtalmologie·A BilalS Mazhar

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