Table 5.
Models/Folds(F) | Performance Evaluation based on Four Metrics | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
TP | TN | FP | FN |
Test set (%) Acc |
Rec | Spe | Pre | F1 | ||
AlexNet | F-1 | 35 | 201 | 43 | 10 | 81.66 | 77.78 | 82.38 | 44.87 | 56.91 |
F-2 | 35 | 207 | 37 | 10 | 83.74 | 77.78 | 84.84 | 48.61 | 59.83 | |
F-3 | 36 | 209 | 35 | 9 | 84.78 | 80 | 85.66 | 50.7 | 62.07 | |
F-4 | 36 | 209 | 35 | 9 | 84.78 | 80 | 85.66 | 50.7 | 62.07 | |
F-5 | 36 | 209 | 35 | 9 | 84.78 | 80 | 85.66 | 50.7 | 62.07 | |
Average | 83.94 | 79.11 | 84.84 | 49.12 | 60.59 | |||||
GoogleNet | F-1 | 36 | 213 | 31 | 9 | 86.16 | 80 | 87.3 | 53.73 | 64.29 |
F-2 | 36 | 214 | 30 | 9 | 86.51 | 80 | 87.7 | 54.55 | 64.86 | |
F-3 | 38 | 216 | 28 | 7 | 87.89 | 84.44 | 88.52 | 57.58 | 68.47 | |
F-4 | 38 | 216 | 28 | 7 | 87.89 | 84.44 | 88.52 | 57.58 | 68.47 | |
F-5 | 38 | 216 | 28 | 7 | 87.89 | 84.44 | 88.52 | 57.58 | 68.47 | |
Average | 87.27 | 82.67 | 88.11 | 56.2 | 66.91 | |||||
DenseNet121 | F-1 | 38 | 215 | 29 | 7 | 87.54 | 84.44 | 88.11 | 56.72 | 67.86 |
F-2 | 38 | 216 | 28 | 7 | 87.89 | 84.44 | 88.52 | 57.58 | 68.47 | |
F-3 | 39 | 217 | 27 | 6 | 88.58 | 86.67 | 88.93 | 59.09 | 70.27 | |
F-4 | 39 | 217 | 27 | 6 | 88.58 | 86.67 | 88.93 | 59.09 | 70.27 | |
F-5 | 39 | 217 | 27 | 6 | 88.58 | 86.67 | 88.93 | 59.09 | 70.27 | |
Average | 88.24 | 85.78 | 88.69 | 58.31 | 69.43 | |||||
ResNet-50 | F-1 | 41 | 228 | 16 | 4 | 93.08 | 91.11 | 93.44 | 71.93 | 80.39 |
F-2 | 41 | 231 | 13 | 4 | 94.12 | 91.11 | 94.67 | 75.93 | 82.83 | |
F-3 | 41 | 234 | 10 | 4 | 95.16 | 91.11 | 95.9 | 80.39 | 85.42 | |
F-4 | 41 | 234 | 10 | 4 | 95.16 | 91.11 | 95.9 | 80.39 | 85.42 | |
F-5 | 41 | 234 | 10 | 4 | 95.16 | 91.11 | 95.9 | 80.39 | 85.42 | |
Average | 94.53 | 91.11 | 95.16 | 77.81 | 83.89 | |||||
Se-ResNet-50 | F-1 | 41 | 229 | 15 | 4 | 93.43 | 91.11 | 93.85 | 73.21 | 81.19 |
F-2 | 41 | 232 | 12 | 4 | 94.46 | 91.11 | 95.08 | 77.36 | 83.67 | |
F-3 | 41 | 234 | 10 | 4 | 95.16 | 91.11 | 95.9 | 80.39 | 85.42 | |
F-4 | 41 | 234 | 10 | 4 | 95.16 | 91.11 | 95.9 | 80.39 | 85.42 | |
F-5 | 41 | 234 | 10 | 4 | 95.16 | 91.11 | 95.9 | 80.39 | 85.42 | |
Average | 94.67 | 91.11 | 95.33 | 78.35 | 84.22 | |||||
Inception v4 | F-1 | 38 | 215 | 29 | 7 | 87.54 | 84.44 | 88.11 | 56.72 | 67.86 |
F-2 | 39 | 227 | 17 | 6 | 92.04 | 86.67 | 93.03 | 69.64 | 77.23 | |
F-3 | 39 | 228 | 16 | 6 | 92.39 | 86.67 | 93.44 | 70.91 | 78 | |
F-4 | 38 | 215 | 29 | 7 | 87.54 | 84.44 | 88.11 | 56.72 | 67.86 | |
F-5 | 36 | 214 | 30 | 9 | 86.51 | 80 | 87.7 | 54.55 | 64.86 | |
Average | 89.2 | 84.44 | 90.08 | 61.71 | 71.16 | |||||
Inception ResNet v2 | F-1 | 38 | 216 | 28 | 7 | 87.89 | 84.44 | 88.52 | 57.58 | 68.47 |
F-2 | 39 | 226 | 18 | 6 | 91.7 | 86.67 | 92.62 | 68.42 | 76.47 | |
F-3 | 39 | 229 | 15 | 6 | 92.73 | 86.67 | 93.85 | 72.22 | 78.79 | |
F-4 | 39 | 215 | 29 | 6 | 87.89 | 86.67 | 88.11 | 57.35 | 69.03 | |
F-5 | 39 | 215 | 29 | 6 | 87.89 | 86.67 | 88.11 | 57.35 | 69.03 | |
Average | 89.62 | 86.22 | 90.25 | 62.58 | 72.36 | |||||
ResNeXt-50 | F-1 | 41 | 234 | 10 | 4 | 95.16 | 91.11 | 95.9 | 80.39 | 85.42 |
F-2 | 41 | 235 | 9 | 4 | 95.5 | 91.11 | 96.31 | 82 | 86.32 | |
F-3 | 43 | 237 | 7 | 2 | 96.89 | 95.56 | 97.13 | 86 | 90.53 | |
F-4 | 43 | 237 | 7 | 2 | 96.89 | 95.56 | 97.13 | 86 | 90.53 | |
F-5 | 43 | 237 | 7 | 2 | 96.89 | 95.56 | 97.13 | 86 | 90.53 | |
Average | 96.26 | 93.78 | 96.72 | 84.08 | 88.66 | |||||
Se-ResNeXt-50 | F-1 | 42 | 234 | 10 | 3 | 95.5 | 93.33 | 95.9 | 80.77 | 86.6 |
F-2 | 42 | 235 | 9 | 3 | 95.85 | 93.33 | 96.31 | 82.35 | 87.5 | |
F-3 | 43 | 237 | 7 | 2 | 96.89 | 95.56 | 97.13 | 86 | 90.53 | |
F-4 | 43 | 237 | 7 | 2 | 96.89 | 95.56 | 97.13 | 86 | 90.53 | |
F-5 | 43 | 237 | 7 | 2 | 96.89 | 95.56 | 97.13 | 86 | 90.53 | |
Average | 96.40 | 94.67 | 96.72 | 84.22 | 89.14 |
Bold indicates highest accuracy