Table 5 Comparative analysis of MobileDANet and existing works (CRCH dataset).

From: MobileDANet integrating transfer learning and dynamic attention for classifying multi target histopathology images with explainable AI

Feature type

Methodology

\(\widehat{F}\)(%)

Handcrafted features

B6F-SVM59

86.61

DL-Lldiv60

71.86

SDLs61

71.94

TPCD62

90.25

Deep-features

SVM-CNN63

81.19

ResNet5029

84.15

ResNet10129

86.87

DenseNet64

90.14

HHFA-Net47

98.28

APFA-Net48

94.12

Graphical features

DeMuC65

94.28

MCTP66

97.39

Proposed model

MobileDANet

99.08

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