Table 6 Experimental results on evaluation metrics for test samples in dataset D1.
From: Deep learning based automated diagnosis of bone metastases with SPECT thoracic bone images
Classifier | Acc | Prec | Rec | Spe | F-1 score |
|---|---|---|---|---|---|
SPECS V7 | 0.7928 | 0.6875 | 0.9361 | 0.6875 | 0.7928 |
SPECS V16 | 0.8288 | 0.9667 | 0.6170 | 0.9843 | 0.7532 |
SPECS V19 | 0.8829 | 0.8542 | 0.8723 | 0.8906 | 0.8632 |
SPECS V21 | 0.9190 | 0.9750 | 0.8298 | 0.9844 | 0.8966 |
SPECS V24 | 0.7387 | 0.6731 | 0.7447 | 0.7343 | 0.7070 |
SPECS R34 | 0.8198 | 0.8462 | 0.7021 | 0.9063 | 0.7674 |
SPECS D121 | 0.8018 | 0.8209 | 0.6809 | 0.8906 | 0.7442 |
