Research Article
An Effective Method for Detecting and Classifying Diabetic Retinopathy Lesions Based on Deep Learning
Table 1
Studies using MESSIDOR dataset and results.
| Authors | Training type | Method | Process type | ACC | AUC | SEN |
| Zhang et al. [49] | ZFNet | TL | Optic disc localization | 99.9 | | — | Alghamdi et al. [50] | CNN | EE | Optic disc localization | 99.2 | — | — | Xu et al. [51] | CNN | TL | Optic disc localization | 99.4 | — | — | Abràmoff et al. [52] | CNN | EE | Lesion detection | — | — | 100 | Grinsven et al. [53] | CNN | EE | Lesion detection | — | 97.9 | 93.1 | Gulshan et al. [54] | CNN | TL | Fundus classification | — | 99.0 | 87.0 | Costa and Campilho [55] | SURF + CNN | EE | Fundus classification | — | 90.0 | — | Gargeya and Leng [56] | CNN | EE | Fundus classification | — | 94.0 | — | Wang et al. [57] | Zoom | EE | Fundus classification | 91.1 | 95.7 | — | Chen et al. [58] | SI2DRNet | EE | Fundus classification | 91.2 | 96.5 | — |
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