作者: Vesna Zeljković , Milena Bojic , Shengwei Zhao , Claude Tameze , Ventzeslav Valev
DOI: 10.1002/CPE.3215
关键词: Retinopathy 、 Computer vision 、 Eye screening 、 Light intensity 、 Computer science 、 Retinal 、 Fundus (eye) 、 Blindness 、 Optic disk 、 Diabetic retinopathy 、 Artificial intelligence 、 Image processing
摘要: Diabetic retinopathy is the progressive pathological alterations in retinal microvasculature that very often causes blindness. Because of its clinical significance, it will be helpful to have regular cost-effective eye screening for diabetic patients by developing algorithms perform image analysis, fundus enhancement, and monitoring. The two are proposed exudates detection optic disk extraction aimed images classification diagnosis assistance. They represent effort made offer a algorithm identification, which enable easier extraction, assist ophthalmologists while making diagnoses. apply mathematical modeling, enables light intensity levels emphasis, detection, efficient correct images. robust various appearance changes shows promising results. Fundus classified into those healthy affected diabetes, based on detected exudates. obtained results indicate successfully correctly classifies more than 98% observed because typically encountered environments. Copyright © 2014 John Wiley & Sons, Ltd.