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Table 2 Median (25% − 75% percentile) DSC and HD from 5-fold CV via baseline models.

From: Comparison of deep learning networks for fully automated head and neck tumor delineation on multi-centric PET/CT images

  

Fold 1

Fold 2

Fold 3

Fold 4

Fold 5

Regular Unet

DSC

0.78 (0.64–0.82)

0.73 (0.63–0.80)

0.74 (0.63–0.81)

0.74 (0.65–0.81)

0.70 (0.59–0.81)

HDavg (mm)

2.4 (1.6-5.0)

2.6 (1.8–3.7)

2.8 (1.9–4.5)

2.7 (1.8–4.3)

2.7 (1.5–4.7)

HD95 (mm)

8.7 (4.5–18.4)

8.9 (4.5–15.2)

8.8 (5.5–18.2)

9.1 (4.8–17.3)

7.0 (3.8–18.4)

2D Retina

DSC

0.71 (0.58–0.79)

0.70 (0.52–0.79)

0.75 (0.65–0.81)

0.68 (0.57–0.74)

0.72 (0.62–0.79)

HDavg (mm)

3.2 (2.1–5.2)

2.9 (1.9–6.3)

3.0 (1.9–4.8)

2.1 (2.4–5.6)

2.8 (2.0-5.6)

HD95 (mm)

10.8 (5.8–22.9)

10.6 (5.5–22.8)

10.4 (5.1–23.6)

12.2 (6.7–25.3)

10.3 (5.9–20.0)

3D Retina

DSC

0.74 (0.62–0.83)

0.73 (0.58–0.81)

0.74 (0.61–0.81)

0.67 (0.54–0.76)

0.67 (0.56–0.76)

HDavg (mm)

2.3 (1.6–3.9)

2.7 (1.6–4.8)

2.8 (2.0-5.1)

3.5 (2.3–6.2)

3.2 (2.1–5.7)

HD95 (mm)

7.0 (4.3–16.7)

8.5 (4.1–18.8)

8.6 (5.0-23.6)

12.8 (6.5–21.7)

12.0 (5.7–20.0)