Evolutionary algorithm based classifier parameter tuning for automatic diabetic retinopathy grading: A hybrid feature extraction approach

Author:

Mookiah M.R.K.,Acharya U. Rajendra,Martis Roshan Joy,Chua Chua Kuang,Lim C.M.,Ng E.Y.K.,Laude Augustinus

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference75 articles.

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3. Automated diagnosis of glaucoma using texture and higher order spectra features;Acharya;IEEE Trans. Inform. Technol. Biomed.,2011

4. A.M. Aibinu, M.I. Iqbal, M. Nilsson, M.J.E. Salami, Automatic Diagnosis of diabetic retinopathy from fundus images using digital signal and image processing techniques, in: International Conference on Robotics, Vision, Information, and Signal Processing, Penang, Malaysia, 2007, pp. 510–515.

5. Local derivative pattern versus local binary pattern: face recognition with high-order local pattern descriptor;Baochang;IEEE Transactions on Image Processing,2010

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2. Multi-Class Classification of Retinal Fundus Images in Diabetic Retinopathy Using Probabilistic Neural Network;2023 International Conference on Emerging Trends in Networks and Computer Communications (ETNCC);2023-08-16

3. Retinal Fundus Image Classification Using Hybrid Deep Learning Model;2023 World Conference on Communication & Computing (WCONF);2023-07-14

4. Detection of Diabetic Maculopathy;2023 International Conference on Applied Intelligence and Sustainable Computing (ICAISC);2023-06-16

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