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Enhanced diagnosis of diabetic retinopathy:integrating advanced algorithms for automated detection and classification

E Murali T Prasad JHari Krishna Abdul Hussain Sharief Peta Nandini

International Journal of Ophthalmology(English edition)2026,Vol.19Issue(4):P.637-645,9.
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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
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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.

International Journal of Ophthalmology(English edition)

2222-3959

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