Table 5 Performance analysis of FCAU-Net.

From: Feature fusion context attention gate UNet for detection of polycystic ovary syndrome

CNN Type

Accuracy

 
 

Directly applying raw images

Applying FCE images

DenseNet48,49,50

68.27

69.43

VGG51,52

71.23

72.62

AlexNet53

72.91

73.51

ResNet54,55

76.25

77.44

U-Net56

78.64

79.32

Attention U-Net57

82.36

83.78

Proposed FCAU-Net

90.51

99.89

Back to article page