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Table 13 Comparison of the proposed method and existing methods on SIPaKMeD and Herlev datasets

From: CausalCervixNet: convolutional neural networks with causal insight (CICNN) in cervical cancer cell classification—leveraging deep learning models for enhanced diagnostic accuracy

  

SIPaKMeD

Herlev

Models

Accuracy

Accuracy

HDFF [16]

99.15%

90.32%

CerviFormer [21]

93.70%

94.57%

DeepCell [18]

95.63%

92.72%

Our method

CICNN-VGG16

98.76%

86.02%

CICNN-VGG19

98.52%

84.95%

CICNN-ResNet-50

99.14%

97.31%

CICNN-XceptionNet

86.21%

79.57%