Table 4 Comparative analysis of MobileDANet and existing works (BreakHis dataset).

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

Feature extractor

Classification model

Recognition rate (%)

CLBP49

SVM

77.62

GLCM50

1-NN

74.85

LBP51

1-NN

75.54

LPQ52

RF

73.28

ORB53

QDA

74.39

PFTAS54

QDA

83.74

Transfer-learning features

Proposed MobileDANet

88.16

Back to article page