Deep-learning approach for caries detection and segmentation on dental bitewing radiographs

被引：0
|
作者：
Ibrahim Sevki Bayrakdar
Kaan Orhan
Serdar Akarsu
Özer Çelik
Samet Atasoy
Adem Pekince
Yasin Yasa
Elif Bilgir
Hande Sağlam
Ahmet Faruk Aslan
Alper Odabaş
机构：
[1] Eskisehir Osmangazi University,Department of Oral and Maxillofacial Radiology, Faculty of Dentistry
[2] Ankara University,Department of Oral and Maxillofacial Radiology, Faculty of Dentistry
[3] Ordu University,Department of Restorative Dentistry, Faculty of Dentistry
[4] Eskisehir Osmangazi University,Department of Mathematics and Computer Science, Faculty of Science
[5] Karabuk University,Department of Oral and Maxillofacial Radiology, Faculty of Dentistry
[6] Ordu University,Department of Oral and Maxillofacial Radiology, Faculty of Dentistry
[7] Eskisehir Osmangazi University Center of Research and Application for Computer Aided Diagnosis and Treatment in Health,undefined
[8] Ankara University Medical Design Application and Research Center (MEDITAM),undefined
来源：
Oral Radiology | 2022年 / 38卷
关键词：
Artificial intelligence; Deep learning; Tooth caries; Bitewing radiographs; Dentistry;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：468 / 479
页数：11
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