Research Article
Empirical Driven Automatic Detection of Lobulation Imaging Signs in Lung CT
Table 2
The experimental results of our designed algorithms.
(a) |
| | Step size | 1 | 2 | 4 | 6 | 8 | 10 | 12 | 14 | 16 |
| A1 | | | | | | | | | | SNTP | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | APPI | 7.5 | 7.8 | 7.3 | 7.4 | 7.8 | 7.5 | 7.5 | 7.3 | 7.8 | Recall | 25% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | Precision | 2.92% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | F1 score | 0.0522 | | | | | | | | |
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(b) |
| | Step size | 4 | 6 | 8 | 10 | 12 | 14 | 16 | 18 | 20 |
| A2 | | | | | | | | | | SNTP | 14 | 12 | 11 | 9 | 7 | 7 | 5 | 3 | 4 | APPI | 223.5 | 96.1 | 55 | 35.6 | 20.9 | 16.8 | 13.4 | 11.9 | 9.6 | Recall | 87.5% | 75% | 68.75% | 56.25% | 43.75% | 43.75% | 31.25% | 18.75% | 25% | Precision | 2.43% | 2.15% | 2.5% | 2.11% | 2.69% | 3.36% | 2.79% | 1.58% | 3.25% | F1 score | 0.0473 | 0.0417 | 0.0482 | 0.0407 | 0.0508 | 0.0624 | 0.0512 | 0.0291 | 0.0575 |
| A3 | | SNTP | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | APPI | 0.2 | 0 | 0.1 | 0.1 | 0 | 0 | 0 | 0 | 0 | Recall | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | Precision | 0 | | 0 | 0 | | | | | | F1 score | | | | | | | | | |
| A4 | | SNTP | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | APPI | 1.9 | 0.8 | 0.6 | 0.1 | 0.1 | 0.3 | 0.2 | 0.1 | 0 | Recall | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | Precision | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | | F1 score | | | | | | | | | |
| A5 | | SNTP | 14 | 9 | 10 | 8 | 6 | 4 | 3 | 0 | 2 | APPI | 190.2 | 84.9 | 49.4 | 27.4 | 19.8 | 15.8 | 12.9 | 10.5 | 6.1 | Recall | 87.5% | 56.25% | 62.5% | 50% | 37.5% | 25% | 18.75% | 0 | 12.5% | Precision | 2.37% | 1.77% | 2.41% | 1.82% | 2.85% | 1.59% | 1.45% | 0 | 2.06% | F1 score | 0.0461 | 0.0343 | 0.0463 | 0.0352 | 0.0529 | 0.0299 | 0.0269 | | 0.0354 |
| A6 | | SNTP | 12 | 10 | 9 | 9 | 4 | 5 | 6 | 2 | 2 | APPI | 198.6 | 83.6 | 49.1 | 30.6 | 18.9 | 16.9 | 12.25 | 11.1 | 7.8 | Recall | 75% | 62.5% | 56.25% | 56.25% | 25% | 31.25% | 37.5% | 12.5% | 12.5% | Precision | 2.33% | 2.39% | 2.54% | 2.66% | 1.99% | 1.85% | 4.08% | 1.13% | 2.42% | F1 score | 0.0452 | 0.0461 | 0.0487 | 0.0508 | 0.0368 | 0.0348 | 0.0736 | 0.0207 | 0.0405 |
| A7 | | SNTP | 10 | 6 | 5 | 1 | 3 | 2 | 0 | 0 | 0 | APPI | 25.1 | 9.9 | 6.1 | 3.7 | 3.3 | 1.9 | 1.3 | 1.1 | 1.1 | Recall | 62.5% | 37.5% | 31.25% | 6.25% | 18.75% | 12.5% | 0 | 0 | 0 | Precision | 5.49% | 5.03% | 5.15% | 1.69% | 5.66% | 6.67% | 0 | 0 | 0 | F1 score | 0.1009 | 0.0887 | 0.0885 | 0.0267 | 0.0870 | 0.0870 | | | |
| A8 | | SNTP | 16 | 16 | 15 | 10 | 10 | 7 | 7 | 7 | 5 | APPI | 564.5 | 257.8 | 140.3 | 87.4 | 66.3 | 46.2 | 37.8 | 28.8 | 21.1 | Recall | 100% | 100% | 93.75% | 62.5% | 62.5% | 43.75% | 43.75% | 43.75% | 31.25% | Precision | 1.38% | 1.38% | 1.20% | 1.0% | 1.23% | 1.22% | 1.32% | 1.52% | 1.48% | F1 score | 0.0273 | 0.0273 | 0.0238 | 0.0197 | 0.0241 | 0.0237 | 0.0257 | 0.0294 | 0.0283 |
| A9 | | SNTP | 16 | 16 | 13 | 12 | 11 | 9 | 11 | 13 | 7 | APPI | 580.2 | 259.6 | 149.4 | 92.1 | 62.4 | 43.3 | 35.3 | 30.1 | 22.4 | Recall | 100% | 100% | 81.25% | 75% | 68.75% | 56.25% | 68.75% | 81.25% | 43.75% | Precision | 2.09% | 2.31% | 2.0% | 2.17 | 2.61% | 2.16% | 2.84% | 3.11% | 2.23% | F1 score | 0.0409 | 0.0452 | 0.0392 | 0.0420 | 0.0502 | 0.0417 | 0.0545 | 0.0599 | 0.0424 |
| A10a | | SNTP | 16 | 16 | 14 | 8 | 10 | 7 | 5 | 6 | 4 | APPI | 368.5 | 170.1 | 91.1 | 56.1 | 45.3 | 28.1 | 24.1 | 19.3 | 13.9 | Recall | 100% | 100% | 87.5% | 50% | 62.5% | 43.75% | 31.25% | 37.5% | 25% | Precision | 1.76% | 1.84% | 1.58% | 1.0% | 1.66% | 1.78% | 1.30% | 1.94% | 1.79% | F1 score | 0.0347 | 0.0361 | 0.0310 | 0.0197 | 0.0322 | 0.0342 | 0.0249 | 0.0369 | 0.0335 |
| A10b | | | | | | | | | | SNTP | 15 | 16 | 13 | 12 | 11 | 9 | 10 | 11 | 5 | APPI | 447.8 | 200.1 | 114.4 | 70.1 | 48.1 | 35.1 | 26.9 | 22.3 | 16.8 | Recall | 93.75% | 100% | 81.25% | 75% | 68.75% | 56.25% | 62.5% | 68.75% | 31.25% | Precision | 2.25% | 2.59% | 2.24% | 2.32% | 2.60% | 2.50% | 3.25% | 3.37% | 2.24% | F1 score | 0.0439 | 0.0505 | 0.0436 | 0.0500 | 0.0501 | 0.0478 | 0.0618 | 0.0643 | 0.0418 |
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