Table 2.
Average voxel classification performances in the full volumes of chicken breast (%)
| Method | Recall | Precision | Specificity | F1-score |
|---|---|---|---|---|
| Gabor transformation [13] | 47.1 | 48.2 | – | 53.7 |
| ShareCNN | 76.3 ± 5.8 | 83.2 ± 5.6 | 99.98 ± 4e−5 | 78.5 ± 5.3 |
| IndepCNN | 78.4 ± 5.3 | 64.7 ± 4.8 | 99.97 ± 6e−5 | 66.1 ± 4.9 |
Two models trained separately for each needle (averaged)
Single model trained directly for both needles