Automatic dental age calculation from panoramic radiographs using deep learning: a two-stage approach with object detection and image classification

• Egile Nagusiak: Kazuma Kokomoto (Egilea), Rina Kariya (Egilea), Aya Muranaka (Egilea), Rena Okawa (Egilea), Kazuhiko Nakano (Egilea), Kazunori Nozaki (Egilea)
• Formatua: Liburua
• Argitaratua: BMC, 2024-01-01T00:00:00Z.
• Gaiak: article
• Sarrera elektronikoa: Connect to this object online.

Abstract Background Dental age is crucial for treatment planning in pediatric and orthodontic dentistry. Dental age calculation methods can be categorized into morphological, biochemical, and radiological methods. Radiological methods are commonly used because they are non-invasive and reproducible....