International Journal of Ophthalmology(English edition)2026,Vol.19Issue(4):P.637-645,9.DOI:10.18240/ijo.2026.04.01
Enhanced diagnosis of diabetic retinopathy:integrating advanced algorithms for automated detection and classification
E Murali 1T Prasad 2JHari Krishna 3Abdul Hussain Sharief 4Peta Nandini5
作者信息
- 1. Department of Computer Science and Engineering,Siddharth Institute of Engineering&Technology,Puttur,Andhra Pradesh 517581,India
- 2. Research Scholar,Bharath Institute of Higher Education and Research,Chennai,Tamil Nadu 600073,India
- 3. Deparment of Computer Applications,Siddhartha Academy of Higher Education,Deemed to be University,Kanuru,Vijayawada,Andhra Pradesh 520007,India
- 4. Department of Electronics and Communication Engineering,Dhanekula Institute of Engineering and Technology,Vijayawada,Andhra Pradesh 521139,India
- 5. Department of Electrical and Electronics Engineering,Siddharth Institute of Engineering&Technology,Puttur,Andhra Pradesh 517581,India
- 折叠
摘要
关键词
diabetic retinopathy/random forest algorithm/Gaussian mixture modelclustering/multilayer perceptron/fundus image analysis分类
医药卫生引用本文复制引用
E Murali,T Prasad,JHari Krishna,Abdul Hussain Sharief,Peta Nandini..Enhanced diagnosis of diabetic retinopathy:integrating advanced algorithms for automated detection and classification[J].International Journal of Ophthalmology(English edition),2026,19(4):P.637-645,9.