Table 3 Deep learning segmentation performances

Coronal structures

 Prostate

0.97 (0.96–0.97)

0.22 (0.16–0.32)

1.25 (0.87–1.75)

40.93 (36.30–54.02)

 Urethra

0.85 (0.76–0.92)

0.14 (0.07–0.32)

1.25 (0.60–3.01)

0.20 (0.17–0.24)

 Corpus spongiosum

0.96 (0.96–0.97)

0.10 (0.09–0.12)

0.60 (0.42–0.63)

9.73 (8.04–12.47)

 OIM

0.95 (0.92–0.96)

0.25 (0.15–0.36)

1.25 (0.63–3.00)

38.17 (33.80–43.21)

 LAM

0.90 (0.86–0.91)

0.24 (0.17–0.33)

2.99 (0.88–3.00)

5.92 (5.08–6.83)

Sagittal structures

 Bladder

0.98 (0.97–0.98)

0.15 (0.11–0.23)

0.63 (0.63–1.20)

100.64 (73.47–148.26)

 Prostate

0.96 (0.94–0.97)

0.31 (0.22–0.47)

1.25 (1.12–1.90)

37.23 (32.52–46.61)

 Urethra

0.87 (0.77–0.90)

0.10 (0.05–0.14)

0.82 (0.63–1.88)

0.21 (0.18–0.24)

 Corpus spongiosum

0.94 (0.90–0.95)

0.22 (0.16–0.31)

1.88 (0.88–3.00)

10.84 (9.57–13.04)