Research Article
Investigations of CNN for Medical Image Analysis for Illness Prediction
Table 1
Representation of performance evaluation metrics and repeater operating characteristic properties of the existing works.
| | Authors | Accuracy | AUC | Sensitivity | Process |
| | Zhang et al. [10] | 99.90 | — | 87.00 | OD | | Alghamdi et al. [11] | 99.20 | — | 89.00 | OD | | Xu et al. [12] | 99.40 | — | 86.00 | OD | | Abramoff et al. [13] | 96.00 | 78.90 | 100.00 | LD | | Van Grinsven et al. [14] | 97.00 | 97.90 | 93.10 | LD | | Gulshan et al. [15] | 96.54 | 99.00 | 87.00 | FC | | Costta and Campilho [16] | 98.30 | 90.00 | 89.00 | FC | | Gargeya and leng [17] | 96.00 | 94.00 | 80.00 | FC | | Wang et al. [18] | 94.20 | 95.70 | 89.30 | FC | | Chen et al. [19] | 91.20 | 96.50 | 86.00 | FC | | Mansour [20] | 97.90 | 96.20 | 96.20 | LD | | Quelle et al. [21] | 92.00 | 95.50 | 84.00 | FC |
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