Research Article
An Effective Method for Detecting and Classifying Diabetic Retinopathy Lesions Based on Deep Learning
Table 7
Comparison of studies conducted with the Kaggle dataset and the proposed study.
| Authors | Training type | Method | Process type | ACC | AUC | SEN |
| Mansour [59] | AlexNet + SVM | TL | Fundus classification | 97.9 | - | 100 | Quellec et al. [60] | CNN | EE | Fundus classification | - | 95.5 | - | Colas et al. [61] | CNN | EE | Fundus classification | - | 94.6 | 96.2 | Pratt et al. [62] | CNN | EE | Fundus classification | 75.0 | - | 95.0 | Jinfeng et al. [63] | CNN | TL | Fundus classification | 80.3 | - | - | Ours | Faster RCNN + CNN | TL | Fundus classification | 99.1 | 99.9 | 99.1 |
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