Skip to main content

Table 2 The results obtained with the confusion matrix method and ROC analysis

From: Detection of periodontal bone loss patterns and furcation defects from panoramic radiographs using deep learning algorithm: a retrospective study

Model Name

Found Correct for IoU Threshold: 50%

Found Wrong for IoU Threshold: 50%

Not Found for IoU Threshold: 50%

Sensitivity

Precision

F1 Score

Accuracy

AUC

Total Alveolar Bone Loss

185

1

0

1

0.995

0.997

0.994

0.951

Horizontal Bone Loss

108

7

6

0.947

0.939

0.943

0.892

0.910

Vertical Bone Loss

115

21

91

0.558

0.846

0.673

0.506

0.733

Furcation Defect

181

13

22

0.892

0.933

0.912

0.837

0.868