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) |