Fast and accurate mobile-aided screening system of moderate diabetic retinopathy

Yaroub Elloumi; Manef Ben Mbarek; Rahma Boukadida; Mohamed Akil; Mohamed Hedi Bedoui

doi:10.1117/12.2588505

4 January 2021 Fast and accurate mobile-aided screening system of moderate diabetic retinopathy

Yaroub Elloumi, Manef Ben Mbarek, Rahma Boukadida, Mohamed Akil, Mohamed Hedi Bedoui

Proceedings Volume 11605, Thirteenth International Conference on Machine Vision; 116050U (2021) https://doi.org/10.1117/12.2588505
Event: Thirteenth International Conference on Machine Vision, 2020, Rome, Italy

Abstract

The Diabetic Retinopathy (DR) is a worldwide eye disease that causes visual damages and can leads to blindness. Therefore, the detection of the DR in the early stages is highly recommended. However, a delay is registered for ensuring early DR diagnosis which caused by the low-rate of the ophthalmologists, the deficiency of diagnosis equipment and the lack of mobility of elderly patients. In this paper, the main objective is to provide a mobile-aided screening system of moderate DR. Within this aim, we propose a classifier-based method which is based on detecting the Hard Exudate (HE) lesions that occur in moderate DR stage. A set of features are extracted to ensure an accurate and robust detection with respect to modest quality of fundus images. Moreover, the detection is provided in a low complexity processing to be suitable for mobile device. The aimed system corresponds to the implementation of the method on a smartphone associated to an optical lens for capturing fundus image. The system reached satisfactory screening performance where an accuracy of 98.36%, a sensitivity of 100% and specificity of 96.45% are registered using the DIARETDB1 fundus image databases. Moreover, the screening is performed in an average execution time of 2.68 seconds.

Citation Download Citation

Yaroub Elloumi, Manef Ben Mbarek, Rahma Boukadida, Mohamed Akil, and Mohamed Hedi Bedoui "Fast and accurate mobile-aided screening system of moderate diabetic retinopathy", Proc. SPIE 11605, Thirteenth International Conference on Machine Vision, 116050U (4 January 2021); https://doi.org/10.1117/12.2588505

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