Table 4 Comparison of nnunet, mtnnunet, mcnnunet, AAnnUNet and ensemble for rectal tumor segmentation on the external test (fully-supervision) (Num = 666, 9 centers).

From: Improving rectal tumor segmentation with anomaly fusion derived from anatomical inpainting: a multicenter study

Network

nnUNet

MTnnUNet

MCnnUNet

AAnnUNet

Ensemble

aDSC

(%)

62.8

(60.7, 64.8)

65.4

(63.7, 67.2)

60.5

(58.6,62.4)

65.6

(63.9, 67.3)

69.1

(67.6, 70.6)

mDSC

(%)

73.2

(71.8, 74.7)

74.4

(73.4, 75.5)

70.2

(69.0, 71.5)

72.8

(72.0, 73.7)

75.5

(74.5, 76.5)

aHD

(mm)

17.28

(14.63,19.94)

13.63

(11.87, 15.38)

21.06 (19.51,22.62)

16.69 (14.57,18.82)

14.74

(12.72, 16.75)

mHD

(mm)

6.36

(5.45, 7.22)

5.61

(5.04, 6.18)

7.99

(7.00, 9.02)

5.61

(4.96, 6.25)

5.09

(4.64, 5.55)

  1. Significant values are in [bold].
  2. All four models were trained on Training Cohort 1 using 5-fold cross-validation.
  3. aDSC: average Dice Coefficient Similarity. mDSC: median Dice Coefficient Similarity. aHD: average of 95% Hausdorff Distance. mHD: median of 95% Hausdorff Distance. The 95% confidential intervals are presented.
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