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 - February 26, 2019 Category: Biomedical Engineering Source Type: research