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Research Article

Diabetic Detection Using Retina Image

Open Access Peer Reviewed

Authors

  • S. Benila M.E,(Ph.D)1
  • S .Pasupathi2
  • A.Immanuel Prince Benjemin3

1Assistant Professor/Sr.G, Department of Computer Science & Engineering, SRM Valliammai Engineering College, Tamil Nadu, India. 23UG Student, Department of Computer Science & Engineering, SRM Valliammai Engineering College, Tamil Nadu, India.

Article Information

DOI
No DOI
Published Online
May-June 2022
Pages
83-87
Article Type
Research Article
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No DOI available for cross-reference

References

[1] Detection Retinopathy 1.Diabetic Extracting Area and Number of Microaneurysm from Color Fundus Image, Shailesh ; Kumar Basant
Kumar, 2018 5th International Conference on Signal Processing and Integrated Networks (SPIN).
DOI:10.1109/SPIN.2018.8474264
[2]retinopathy diabetic for detection 2.Exudate convolutional neural network, Shuang ; Yu ; Di Xiao Yogesan Kanagasingam, 2017 39th
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
DOI:10.1109/EMBC.2017.8037180
[3] Automatic diabetic retinopathy detection and classification system, Z. A. Omar ; M. Hanafi ; S. Mashohor ; N. F. M. Mahfudz ; M. Muna'im, 2017 7th IEEE International Conference on System Engineering and Technology (ICSET) DOI:10.1109/ICSEngT.2017.8123439
[4] Diagnosis of Using Image Processing and Convolutional Neural Network, Ömer Deperlıoğlu ; Utku Köse, 2018 2nd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) DOI:10.1109/ISMSIT.2018.8567055
[5] Using Detection Retinopathy Diabetic 5.Automatic Digital Image Processing, Kranthi Kumar Palavalasa; Bhavani Sambaturu, 2018
International Conference on Communication and Signal Processing (ICCSP)DOI:10.1109/ICCSP.2018.852423
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