Table 1 False and right percentages of canal/sinus/fossa detections of the AI system
From: A deep learning approach for dental implant planning in cone-beam computed tomography images
| Regions | Canal/sinus/fossa detection (%, n) | Missing tooth detection (%, n) | ||||||
|---|---|---|---|---|---|---|---|---|
| Canal detection (Mandibula) | Sinus/fossa detection (Maxilla) | Mandibula | Maxilla | |||||
| False | Right | False | Right | False | Right | False | Right | |
| Anterior |
83% (n = 44) |
17% (n = 9) |
91.8% (n = 56) |
8.2% (n = 5) |
9.4% (n = 5) |
90.6% (n = 48) |
8.2% (n = 5) |
91.8% (n = 56) |
| Premolar |
29.5% (n = 18) |
70.5% (n = 43) |
27.7% (n = 28) |
72.3% (n = 73) |
3.3% (n = 2) |
96.7% (n = 59) |
5.9% (n = 6) |
94.1% (n = 95) |
| Molar |
2.5% (n = 3) |
97.5% (n = 117) |
7.1% (n = 8) |
92.9% (n = 104) |
1.7% (n = 2) |
98.3% (n = 118) |
3.6% (n = 4) |
96.4% (n = 108) |
| Total |
27.8% (n = 65) |
72.2% (n = 169) |
33.6% (n = 92) |
66.4% (n = 182) |
3.8% (n = 9) |
96.2% (n = 225) |
5.5% (n = 15) |
94.5% (n = 259) |