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Table 7 The classification results (%) of the proposed components on our LDWBC test set

From: Accurate classification of white blood cells by coupling pre-trained ResNet and DenseNet with SCAM mechanism

Our model

OA

AP

AR

AF1

RM

DM

SCAM

    
 

\(\checkmark\)

\(\checkmark\)

97.11

89.69

92.88

91.15

\(\checkmark\)

 

\(\checkmark\)

97.75

90.52

94.45

92.25

\(\checkmark\)

\(\checkmark\)

\(\checkmark\)

97.84

91.61

96.38

93.82

  1. Best results are in bold; RM ResNet module, DM DenseNet module