Classification of Multiclass Histopathological Breast Images Using Residual Deep Learning

Table 7

The obtained result of the proposed method for classifying the BreakHis dataset for all magnifying factors.

	Method	Accuracy %
Asare et al. [29]	Inception_ResNetV2 with a Softmax as a classifier	91.72
Mi et al. [30]	Inception V3 with a Softmax as a classifier	85.19
Alkassar et al. [31]	Inception network with an ECmax as a classifier	89.58
Boumaraf et al. [32]	ResNet-18 with a Softmax as a classifier	92.03
Zerouaoui and Idri [33]	DenseNet 201 with a MLP as a classifier	92.57
Liu et al. [34]	ResNet-18 with a Softmax as a classifier	93.24
Proposed method	Residual deep learning with a Softmax as a classifier	96.3