Automated Detection Model in Classification of B-Lymphoblast Cells from Normal B-Lymphoid Precursors in Blood Smear Microscopic Images Based on the Majority Voting Technique

Table 1

Evaluation metrics of the pretrained models.

Model	Sensitivity (%)	Specificity (%)	Accuracy (%)	GPU time (second)
DenseNet 121	98.5	70.9	85.3	4116
Inception-V3	99	72.4	89.77	8130
AlexNet	88	69	78.6	4966
ResNet-50	79	66	74	5111
ResNet-101	81	68	79	10115
Inception-ResNet-v2	99.92	68.83	89.1	24119
SqueezeNet	89	68.8	81	5211
Xception	99.84	85.65	94.91	9232