Table 3 Comparative analysis of SEHDL-OSCCR technique with recent methods.

From: Deep transfer learning with improved crayfish optimization algorithm for oral squamous cell carcinoma cancer recognition using histopathological images

Techniques

Accuy

Precn

Recl

F1score

Resnet50-Feature fusion

97.78

93.23

89.98

95.68

Resnet50-DCNNs

96.60

91.15

94.84

91.58

Resnet50-VGG16

86.22

87.91

85.78

86.52

Three Kinds of CNN

92.52

95.49

92.27

92.78

VGG16 and Mobile Inception

97.82

93.25

91.39

92.31

MobilenetV3-GTO

95.00

91.86

91.72

89.21

Swin-Transformer

98.60

92.23

89.14

89.63

SEHDL-OSCCR

98.75

96.69

98.75

97.69