Differential evolution variants for optic disc localisation in eye fundus images using entropy measure

作     者：Zhang, Chen Kumar, B. Vinoth Zhang, Siwen Prakash, J. Wen, Shiman Joel, Bineeshia Li, Wenjin 

作者机构：Shanghai Chest Hospital Shanghai China Department of Information Technology PSG College of Technology Tamil Nadu Coimbatore India Faculty of Life Sciences and Medicine King's College London United Kingdom Department of Computer Science and Engineering PSG College of Technology Tamil Nadu Coimbatore India Shanghai University of Medicine and Health Sciences Shanghai China School of Health Science and Engineering University of Shanghai for Science and Technology China 

出 版 物：《International Journal of Intelligent Systems Technologies and Applications》 (Int. J. Intell. Syst. Technol. Appl.)

年 卷 期：2023年第21卷第2期

页      面：129-152页

核心收录：

学科分类：12[管理学] 080701[工学-工程热物理] 08[工学] 0831[工学-生物医学工程（可授工学、理学、医学学位）] 1007[医学-药学(可授医学、理学学位)] 100706[医学-药理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 1002[医学-临床医学] 1001[医学-基础医学(可授医学、理学学位)] 081203[工学-计算机应用技术] 0807[工学-动力工程及工程热物理] 0837[工学-安全科学与工程] 0835[工学-软件工程] 0701[理学-数学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Entropy 

摘      要：Retinal images are broadly used to expose several retinopathies like glaucoma, optic neuritis, macular degeneration related to age, and diabetic retinopathy. Computer-aided retinal image diagnoses efficiently facilitate clinicians by automating the load screening process to diagnose these conditions of which optic disc (OD) segmentation is the primary phase and categorised as a critical search problem. The proposed approach incorporates the preliminary processing of retinal fundus images and optical disc localisation using three variants of differential evolution (DE) for this application: standard differential evolution (SDE), cellular differential evolution (CDE), and unified differential evolution (UDE). To localise optic disc effectively, Entropy of an image region is proposed as a fitness function. The performance of the suggested technique is examined on two datasets: DIARETDB0 and DIARETDB1. The results suggested that the proposed methodology has achieved a 99.23% detection accuracy and demonstrates the dominance of localising the optic disc over the others. © 2023 Inderscience Enterprises Ltd.