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Table 1 Our dental classification results compared to the state-of-art methods

From: 3D tooth identification for forensic dentistry using deep learning

Scenario\Accuracy

16 Categories

8 Categories

4 Categories

Method

   

Iftinca et al. [10]

-

75%

-

Li et al. [1]

-

-

87%

Li et al. [14]

90.7%

-

-

Miki et al. [11]

-

91.21%

-

Ours

98.01%

98.88%

99.75%