Table 2 The results of our proposed method include 20% of the whole dataset
From: Classification of mastoid air cells by CT scan images using deep learning method
Grader’s diagnosis | Proposed model /optimizer | The highest accuracy (%) | Accuracy of the last epoch (%) | Average accuracy (%) | Average time of each epoch (Seconds) | The 99% confidence interval of the average accuracy |
|---|---|---|---|---|---|---|
Grader 1 (ENT) | Xception_Adamax | 88.65 | 87.80 | 87.70 | 4399 | 0.012 |
Grader 2 (Radiologist) | Xception_Adamax | 88.78 | 88.44 | 87.56 | 4398 | 0.012 |