Evolutionary Intelligence and Deep Learning Enabled Diabetic Retinopathy Classification Model

作     者：Bassam A.Y.Alqaralleh Fahad Aldhaban Anas Abukaraki Esam A.Al.Qaralleh 

作者机构：MIS DepartmentCollege of Business AdministrationUniversity of Business and TechnologyJeddah21448Saudi Arabia Department of Computer ScienceFaculty of Information TechnologyAl-Hussein Bin Talal UniversityMa’an71111Jordan School of EngineeringPrincess Sumaya University for TechnologyAmman11941Jordan 

出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)

年 卷 期：2022年第73卷第10期

页      面：87-101页

核心收录：

学科分类：1002[医学-临床医学] 100201[医学-内科学(含：心血管病、血液病、呼吸系病、消化系病、内分泌与代谢病、肾病、风湿病、传染病)] 10[医学] 

基　　金：Funding Statement: This Research was funded by the Deanship of Scientific Research at University of Business and Technology  Saudi Arabia 

主　　题：Optimization algorithms medical images diabetic retinopathy deep learning fusion model 

摘      要：Diabetic Retinopathy(DR)has become a widespread illness among diabetics across the *** fundus images are generally used by physicians to detect and classify the stages of *** manual examination of DR images is a time-consuming process with the risks of biased results,automated tools using Artificial Intelligence(AI)to diagnose the disease have become *** this view,the current study develops an Optimal Deep Learning-enabled Fusion-based Diabetic Retinopathy Detection and Classification(ODL-FDRDC)*** intention of the proposed ODLFDRDC technique is to identify DR and categorize its different grades using retinal fundus *** addition,ODL-FDRDC technique involves region growing segmentation technique to determine the infected ***,the fusion of two DL models namely,CapsNet and MobileNet is used for feature ***,the hyperparameter tuning of these models is also performed via Coyote Optimization Algorithm(COA).Gated Recurrent Unit(GRU)is also utilized to identify *** experimental results of the analysis,accomplished by ODL-FDRDC technique against benchmark DR dataset,established the supremacy of the technique over existing methodologies under different measures.