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Table 2 Quantitative results for each segmentation algorithm

From: Myofibre segmentation in H&E stained adult skeletal muscle images using coherence-enhancing diffusion filtering

 

Fibre acc. ( %)

Fragmentation

Congealment

Mean diameter ( μ m)

VC ( μ m)

Thresholding [6]

66.97 (±20.75)

0.43 (±0.30)

0.35 (±0.28)

60.53 (±21.75)

337.10 (±92.60)

Line detectors [7]

68.16 (±19.61)

0.08 (±0.11)

0.19 (±0.13)

66.01 (±22.32)

336.00 (±139.22)

Vesselness enhancement [9]

63.90 (±23.42)

0.28 (±0.19)

0.07 (±0.12)

53.40 (±19.63)

312.84 (±58.20)

Hybrid level sets [31]

76.93 (±18.12)

0.09 (±0.09)

0.18 (±0.13)

63.41 (±21.48)

327.64 (±105.00)

Chan-Vese AC [32]

72.62 (±15.93)

0.06 (±0.08)

0.20 (±0.13)

66.41 (±22.21)

325.03 (±103.71)

Proposed method

88.65 (±8.58)

0.08 (±0.07)

0.10 (±0.11)

62.83 (±18.31)

251.85 (±59.74)

Ground truth

   

59.21 (±15.58)

230.31 (±40.07)