Hybrid Nature Inspired SMO-GBM Classifier for Exudate Classification on Fundus Retinal Images
Conclusion: The proposed approach provides detection and grading of diabetic retinopathy. The abnormality is further categories as soft, moderate and severe. The hybrid SMO-GBM classifier yields a better statistical metrics than the existing exudates classification approaches.Graphical abstract
Source: IRBM - Category: Biomedical Engineering Source Type: research
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