Artificial intelligence system for automatic deciduous tooth detection and numbering in panoramic radiographs.

Abstract

Authors

• Münevver Coruh Kılıc
  Department of Paediatric Dentistry, Faculty of Dentistry, Ataturk University, Erzurum, Turkey.
• İbrahim Şevki Bayrakdar
  Department of Oral Diagnosis and Radiology, Faculty of Dentistry, Eskişehir Osmangazi University, Eskişehir, Turkey.
• Özer Çelik
  Department of Mathematics and Computer, Faculty of Science and Letters, Eskişehir Osmangazi University, Eskişehir, Turkey.
• Elif Bilgir
  Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Eskisehir Osmangazi University, Eskisehir, Turkey.
• Kaan Orhan
  Department of Dentomaxillofacial Radiology, Faculty of Dentistry, Dentomaxillofacial Radiologist, Ankara University, Ankara, Turkey.
• Ozan Barıs Aydın
  Department of Paediatric Dentistry, Faculty of Dentistry, Ataturk University, Erzurum, Turkey.
• Fatma Akkoca Kaplan
  Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Eskisehir Osmangazi University, Eskişehir, Turkey.
• Hande Sağlam
  Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Eskisehir Osmangazi University, Eskişehir, Turkey.
• Alper Odabaş
  Department of Mathematics and Computer Science, Faculty of Science, Eskisehir Osmangazi University, Eskisehir, Turkey.
• Ahmet Faruk Aslan
  Department of Mathematics and Computer Science, Faculty of Science, Eskisehir Osmangazi University, Eskisehir, Turkey.
• Ahmet Berhan Yılmaz
  Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Ataturk University, Erzurum, Turkey, Turkey.

Keywords

External Resources