Table 2 Five-fold cross validation performance of the proposed method using post-ablation SPECT/CT.

From: Deep learning enables automated localization of the metastatic lymph node for thyroid cancer on 131I post-ablation whole-body planar scans

Region

Five-fold

Pre (%)

Rec (%)

F1-score (%)

DSC (%)

mLN

Fold 1

87.0

88.0

87.5

86.7

Fold 2

82.9

83.2

83.0

80.2

Fold 3

90.1

69.7

78.6

79.3

Fold 4

90.0

70.2

78.4

77.0

Fold 5

72.0

70.4

71.1

71.5

Remnant tissue

Fold 1

97.0

77.5

86.2

87.1

Fold 2

88.2

89.0

88.5

90.0

Fold 3

98.3

81.0

88.8

88.0

Fold 4

97.0

72.8

83.2

85.7

Fold 5

98.0

79.0

87.5

88.0

Background

Fold 1

96.0

94.3

95.1

97.0

Fold 2

99.5

100.0

99.7

99.3

Fold 3

100.0

99.4

99.7

99.7

Fold 4

99.0

99.2

99.1

99.0

Fold 5

100.0

100.0

100.0

99.9

Overall

Fold 1

93.3

85.1

88.9

88.1

Fold 2

90.9

90.7

90.8

90.5

Fold 3

96.1

83.4

89.0

89.0

Fold 4

92.3

82.1

86.6

87.2

Fold 5

92.3

83.1

87.3

87.7

  1. mLN: metastatic lymph node; Pre: precision; Rec: recall; DSC: Dice similarity coefficient.