From: Multi-tissue and multi-scale approach for nuclei segmentation in H&E stained images
Organ | Computational time (s) | Object-level performance | Pixel-level performance | ||||
---|---|---|---|---|---|---|---|
Recall | Precision | F1-score | CS (%) | US (%) | SE (%) | ||
Colon | 22.89 ± 2.15 | 0.9505 ± 0.0121 | 0.9048 ± 0.0114 | 0.9270 ± 0.0086 | 86.78 ± 1.97 | 8.69 ± 2.00 | 4.53 ± 1.14 |
Liver | 11.32 ± 1.25 | 0.9249 ± 0.0267 | 0.9547 ± 0.0114 | 0.9392 ± 0.0101 | 87.17 ± 4.55 | 5.81 ± 2.42 | 7.02 ± 2.37 |
Bone | 13.10 ± 1.13 | 0.9486 ± 0.0290 | 0.9362 ± 0.0203 | 0.9417 ± 0.0077 | 74.15 ± 4.17 | 21.35 ± 4.30 | 4.07 ± 2.49 |
Prostate | 12.28 ± 1.31 | 0.9533 ± 0.0127 | 0.9404 ± 0.0147 | 0.9467 ± 0.0106 | 77.47 ± 7.72 | 18.79 ± 7.31 | 3.74 ± 0.88 |
Adrenal gland | 18.02 ± 1.26 | 0.9126 ± 0.0300 | 0.9239 ± 0.0312 | 0.9174 ± 0.0129 | 84.60 ± 4.44 | 7.33 ± 2.55 | 8.06 ± 2.62 |
Thyroid | 23.71 ± 5.94 | 0.9335 ± 0.0296 | 0.8914 ± 0.0221 | 0.9112 ± 0.0038 | 81.62 ± 6.18 | 12.61 ± 5.39 | 5.77 ± 2.60 |
Overall | 16.89 ± 5.72 | 0.9372 ± 0.0288 | 0.9253 ± 0.0293 | 0.9305 ± 0.0161 | 81.97 ± 7.05 | 12.43 ± 7.32 | 5.53 ± 2.66 |