Table 3 Quantitative results of different segmentation methods
From: Lesion segmentation in breast ultrasound images using the optimized marked watershed method
\({ACC \,(\%)}\) | \({TPR \,(\%)}\) | \({FPR \,(\%)}\) | \({DSC\, (\%)}\) | \({JI \,(\%)}\) | \({AER\, (\%)}\) | \(\text {HE}\) | \(\text {MAE}\) | |
|---|---|---|---|---|---|---|---|---|
MW | 94.37 (±0.03) | 97.64 (±0.02) | 79.17 (±0.05) | 71.80 (±0.08) | 56.68 (±0.10) | 81.53 (±0.41) | 69.21 (±26.97) | 27.88 (±8.81) |
level set | 94.69 (±0.03) | 95.56 (±0.05) | 5.24 (±0.03) | 69.58 (±0.13) | 54.83 (±0.14) | 98.11 (±0.78) | 72.54 (±26.35) | 28.09 (±9.06) |
MS | 95.76 (±0.04) | 63.05 (±0.13) | 11.93 (±0.16) | 71.57 (±0.10) | 56.72 (±0.12) | 48.88 (±0.17) | 69.91 (±50.21) | 22.68 (±13.67) |
AMS | 94.38 (±0.05) | 81.70 (±0.15) | 45.32 (±0.28) | 72.69 (±0.09) | 58.01 (±0.11) | 63.62 (±0.32) | 72.72 (±44.87) | 24.94 (±14.53) |
MS+MW | 95.92 (±0.03) | 67.65 (±0.04) | 15.40 (±0.11) | 73.57 (±0.12) | 59.14 (±0.14) | 47.74 (±0.73) | 67.00 (±25.24) | 21.75 (±7.13) |
AMSMW | 96.59 (±0.02) | 83.29 (±0.11) | 1.94 (±0.21) | 78.40 (±0.09) | 65.34 (±0.11) | 46.45 (±0.22) | 51.33 (±28.66) | 17.70 (±7.37) |
level set+MW | 96.25 (±0.03) | 91.58 (±0.06) | 50.52 (±0.20) | 77.47 (±0.09) | 64.18 (±0.12) | 58.94 (±0.45) | 55.85 (±27.01) | 19.50 (±7.36) |
FSMW | 96.19 (±0.03) | 92.88 (±0.05) | 52.19 (±0.14) | 77.53 (±0.09) | 64.27 (±0.12) | 59.30 (±0.45) | 56.08 (±28.61) | 19.50 (±7.21) |