Research Article
Histopathological Breast Cancer Image Classification by Deep Neural Network Techniques Guided by Local Clustering
Table 6
Comparing Accuracy (%) in different models.
| ā | 40x | 100x | 200x | 400x |
| CNN [28] | 90.40 | 87.40 | 85.00 | 83.80 | VLAD [29] | 91.80 | 92.10 | 91.40 | 90.20 | PFTAS [29] | 83.80 | 82.10 | 85.10 | 82.30 | ORB [29] | 74.40 | 69.40 | 69.60 | 67.60 | LPQ [29] | 73.80 | 72.80 | 74.30 | 73.70 | LBP [29] | 75.60 | 73.20 | 72.90 | 73.10 | GLCM [29] | 74.70 | 78.60 | 83.40 | 81.70 | CLBP [29] | 77.40 | 76.40 | 70.20 | 81.80 |
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