Research Article
Histopathological Breast Cancer Image Classification by Deep Neural Network Techniques Guided by Local Clustering
Table 2
Comparison of TN, FP, FN, and TP values% for the different algorithms and different datasets.
| | Dataset(x) | Cluster | Decision | Model 1 | Model 2 | Model 3 | | Algorithm | TN | FP | FN | TP | TN | FP | FN | TP | TN | FP | FN | TP |
| | 40x | MS | SVM | 68.39 | 31.60 | 8.00 | 92.00 | 53.55 | 46.44 | 5.20 | 94.76 | 59.10 | 40.00 | 5.00 | 95.00 | | Softmax | 93.00 | 7.00 | 19.00 | 81.00 | 75.28 | 24.71 | 12.23 | 87.76 | 68.39 | 31.60 | 9.40 | 90.50 | | KM | SVM | 67.00 | 32.00 | 6.00 | 93.10 | 53.00 | 46.99 | 7.00 | 92.00 | 70.68 | 29.30 | 10.00 | 90.00 | | Softmax | 84.82 | 15.51 | 7.00 | 92.94 | 72.98 | 27.01 | 10.58 | 89.51 | 70.68 | 29.31 | 6.90 | 93.10 | | OI | SVM | 62.00 | 37.00 | 5.00 | 94.00 | 66.00 | 34.00 | 10.00 | 90.00 | 72.00 | 28.00 | 11.00 | 89.00 | | Softmax | 77.00 | 23.00 | 6.00 | 93.00 | 74.00 | 26.00 | 10.00 | 90.00 | 78.00 | 21.00 | 5.00 | 94.00 |
| | 100x | MS | SVM | 68.00 | 32.00 | 11.00 | 88.00 | 66.00 | 33.00 | 9.00 | 90.11 | 53.00 | 46.00 | 7.00 | 92.00 | | Softmax | 80.00 | 20.00 | 6.00 | 94.00 | 72.57 | 27.42 | 17.00 | 82.00 | 54.85 | 45.14 | 10.00 | 90.00 | | KM | SVM | 80.00 | 2.00 | 6.00 | 94.00 | 56.00 | 44.00 | 6.10 | 93.80 | 66.00 | 34.00 | 12.00 | 88.00 | | Softmax | 75.00 | 25.00 | 4.00 | 95.96 | 64.71 | 35.42 | 12.00 | 87.20 | 61.14 | 38.87 | 10.10 | 89.00 | | OI | SVM | 70.00 | 30.00 | 8.00 | 92.00 | 56.00 | 44.00 | 4.00 | 96.00 | 71.00 | 28.00 | 6.00 | 93.00 | | Softmax | 64.00 | 36.00 | 8.00 | 92.00 | 71.00 | 29.00 | 12.00 | 88.00 | 73.00 | 26.00 | 8.00 | 91.00 |
| | 200x | MS | SVM | 70.70 | 29.00 | 4.10 | 95.82 | 61.61 | 38.38 | 4.00 | 95.30 | 72.00 | 27.00 | 6.80 | 93.00 | | Softmax | 81.00 | 19.00 | 5.00 | 95.00 | 75.75 | 24.24 | 9.80 | 90.17 | 65.00 | 35.00 | 2.00 | 97.00 | | KM | SVM | 69.69 | 30.30 | 3.60 | 96.00 | 64.14 | 35.85 | 5.00 | 94.00 | 75.00 | 24.00 | 8.00 | 91.00 | | Softmax | 85.85 | 14.16 | 8.00 | 91.00 | 78.00 | 21.00 | 12.00 | 87.00 | 71.71 | 22.20 | 6.00 | 93.00 | | OI | SVM | 73.00 | 27.00 | 4.00 | 96.00 | 63.63 | 36.66 | 6.00 | 93.00 | 76.00 | 23.00 | 6.00 | 94.00 | | | Softmax | 78.00 | 22.00 | 5.00 | 94.10 | 76.00 | 24.00 | 12.00 | 88.00 | 70.00 | 30.00 | 6.00 | 93.00 |
| | 400x | MS | SVM | 68.30 | 31.69 | 4.00 | 95.31 | 53.55 | 46.44 | 5.20 | 94.76 | 61.20 | 38.79 | 5.70 | 94.21 | | Softmax | 84.00 | 15.00 | 6.00 | 93.00 | 65.01 | 34.97 | 9.30 | 90.06 | 61.20 | 38.79 | 6.00 | 93.38 | | KM | SVM | 68.00 | 31.00 | 4.00 | 95.00 | 53.00 | 46.99 | 7.00 | 92.00 | 59.01 | 40.98 | 6.61 | 93.38 | | Softmax | 78.00 | 22.00 | 4.00 | 96.00 | 63.93 | 36.06 | 11.57 | 88.42 | 65.00 | 35.00 | 5.00 | 95.00 | | OI | SVM | 75.00 | 25.00 | 6.00 | 94.00 | 61.00 | 39.00 | 12.00 | 88.00 | 79.95 | 24.06 | 9.00 | 90.00 | | Softmax | 76.00 | 24.00 | 10.00 | 90.94 | 70.00 | 30.00 | 10.00 | 90.00 | 82.51 | 17.48 | 12.67 | 87.32 |
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