[Retracted] Deep Learning Model for the Automatic Classification of White Blood Cells

Table 12

Comparison with existing state-of-art models.

Study	Dataset source	No. of images	Technique used	Accuracy (%)
Boldú et al. [1]	ImageNet	16450	DenseNet121	93.6
Baby and Devaraj [2]	ImageNet	16450	VGG16	82.35
Yao et al. [3]	Kaggle	12444	VGG16	95.7
Sen et al. [4]	HospitalSantiago de cube	626	InceptionV3	91
Sheng et al. [7]	MS COCO	1673	ResNet50	75.71
Patil et al. [8]	Kaggle	12444	Xception + LSTM	95.89
Özyurt [9]	Kaggle	12444	AlexNet	95.29
Acevedo et al. [10]	Hospital clinic of barcelona	17092	VGG16	96.2
Sharma et al. [11]	Kaggle	12444	LeNet	87.93
Huang et al. [12]	LCTFS	10000	MGCNN	97.65
Proposed methodology	Kaggle	12444	DenseNet121	98.84