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
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%