Table 9 A comparison of the classification performance obtained by dSPIC-AM with and without pooling layers on the testing samples in dataset D_2
From: dSPIC: a deep SPECT image classification network for automated multi-disease, multi-lesion diagnosis
| Classifer | Accuracy | Precision | Sensitivity | Specificity | F-1 score | AUC |
|---|---|---|---|---|---|---|
| dSPIC-AM with pooling | 0.7747 | 0.7883 | 0.7863 | 0.8820 | 0.7860 | 0.9272 |
| dSPIC-AM without pooling | 0.7558 | 0.7561 | 0.7740 | 0.8642 | 0.7649 | 0.9060 |