Table 2 Classification results on the cervical cancer dataset

From: Hybrid deep learning framework MedFusionNet assists multilabel biomedical risk stratification from imaging and tabular data

Methodology

Accuracy (%)

F-score

GMean

RestNet50

82.66

82.11

84.23

DenseNet121

83.46

83.14

84.34

ConvNeXt

73.24

75.43

73.21

DeiT

65.86

72.34

73.12

InceptionResNet

88.93

88.56

89.31

MedFusionNet

92.34

92.13

93.22

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