Skip to Main content Skip to Navigation
Conference papers

Fast and Accurate Mobile-Aided Screening System of Moderate Diabetic Retinopathy

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.
Complete list of metadata

Cited literature [64 references]  Display  Hide  Download
Contributor : yaroub elloumi Connect in order to contact the contributor
Submitted on : Sunday, October 25, 2020 - 11:20:04 AM
Last modification on : Friday, January 14, 2022 - 3:30:29 PM
Long-term archiving on: : Tuesday, January 26, 2021 - 6:05:06 PM


Fast and Accurate Mobile-Aided...
Files produced by the author(s)


  • HAL Id : hal-02977506, version 1



Yaroub Elloumi, Manef Ben Mbarek, Rahma Boukadida, Mohamed Akil, Mohamed Hedi Bedoui. Fast and Accurate Mobile-Aided Screening System of Moderate Diabetic Retinopathy. International Conference on Machine Vision (ICMV), Nov 2020, Rome, Italy. ⟨hal-02977506⟩



Record views


Files downloads