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Table 3 Comparison of different segmentation models for vessel segmentation in YOLOv5-generated ROIs

From: A deep learning framework for identifying and segmenting three vessels in fetal heart ultrasound images

Method

Dice

Mean

PA

Ao

SVC

IoU

HD

Dice

FCN [15]

82.90

81.64

69.03

67.40

3.54

77.86

U-Net [16]

83.80

83.28

72.94

70.18

3.48

80.01

U-Net++ [20]

83.31

84.25

72.41

69.92

3.47

79.99

Attention U-Net [21]

82.93

81.41

66.72

67.13

3.61

77.02

Deeplabv3 [22]

85.44

87.35

76.52

73.25

3.30

83.11

T-S-deeplab [32]

81.36

86.89

74.24

71.38

3.46

81.35

Ours

85.55

89.12

77.54

74.51

3.25

84.07

  1. The optimal value is highlighted in bold, while the suboptimal value is underlined (in column)
  2. Comparing with the underlined values, this further illustrates the superiority of our proposed method
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BioMedical Engineering OnLine

ISSN: 1475-925X

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