Gray wolf optimization-extreme learning machine approach for diabetic retinopathy detection

HIGHLIGHTS

• who: Musatafa Abbas Abbood Albadr from the University, Taiwan have published the research: Gray wolf optimization-extreme learning machine approach for diabetic retinopathy detection, in the Journal: (JOURNAL)
• what: The major aims of this study are as follows:
• how: Showed that the highest accuracy achieved by the proposed model is 72.33% on the Messidor-1 dataset and 82.18% on the APTOS-19 dataset. The experiment results showed that the performance of the ELM outperformed both Naive Bayes (NB) and Multilayer Perceptron (MLP) with the highest achieved accuracy reaching up to 90 . . .
  

   

  

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