The diagnostic performance of impacted third molars in the mandible: A review of deep learning on panoramic radiographs
Background: Mandibular third molar is prone to impaction, resulting in its inability to erupt into the oral cavity. The radiographic examination is required to support the odontectomy of impacted teeth. The use of computer-aided diagnosis based on deep learning is emerging in the field of medical an...
Saved in:
| Main Authors: | Amalia Nur Faadiya, Rini Widyaningrum, Pingky Krisna Arindra, Silviana Farrah Diba |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2024-03-01
|
| Series: | Saudi Dental Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1013905223002493 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Incidence and Pattern of Mandibular Impacted 3rd Molars and Their Relationship with the Mandibular Canal in Population of Jizan Province of Saudi Arabia: A Retrospective Radiographic Study
by: Ahtesham A. Qurishi, et al.
Published: (2024-08-01) -
Predicting alveolar nerve injury and the difficulty level of extraction impacted third molars: a systematic review of deep learning approaches
by: Hamza Al Salieti, et al.
Published: (2025-05-01) -
Distribution and Angulation Pattern of Impacted Mandibular Third Molars
by: Iman Ali Khalil Al-Obaidi
Published: (2025-08-01) -
The Positional Relationship Between the Mandibular Canal and the Lower Third Molar Determined on Cone-Beam Computed Tomography
by: Horatiu Urechescu, et al.
Published: (2025-07-01) -
Evaluation of Accuracy of OPG in Determining Root Morphology of Lower Third Molar When Compared with Gross Examination
by: Khurshid Abubakir Kheder Khrwatany
Published: (2025-06-01)