Computational Intelligence Method for Detection of White Blood Cells Using Hybrid of Convolutional Deep Learning and SIFT

Table 5

Comparing the accuracy of the proposed approach when using different classification methods (the segmentation is done using SIFT and convolutional deep neural network across these models).

Feature extraction method	Classification method	Sample size	Accuracy
	WTPSSR	260	97.14%
	SVM	260	78.5%
	Distance classifier	260	81.2%