Automated Mesiodens Detection with Deep-Learning-Based System Using Cone-Beam Computed Tomography Images

• Published in: International journal of intelligent systems Vol. 2023; pp. 1 - 8
• Main Authors: Syed, Ali Zakir, Çelik Ozen, Duygu, Abdelkarim, Ahmed Z., Duman, Şuayip Burak, Bayrakdar, İbrahim Şevki, Duman, Sacide, Celik, Özer, Orhan, Kaan
• Format: Journal Article
• Language: English
• Published: New York Hindawi 23.10.2023; Hindawi Limited
• Subjects: Archives & records; Artificial intelligence; Artificial neural networks; Automation; Business metrics; Computed tomography; Datasets; Deep learning; Diagnosis; Image segmentation; Intelligent systems; Labeling; Machine learning; Medical imaging; Morphology; Neural networks; Performance evaluation; Software; Teeth; Tomography; United States > US; Texas

The detection of mesiodens supernumerary teeth is crucial for appropriate diagnosis and treatment. The study aimed to develop a convolutional neural network (CNN)-based model to automatically detect mesiodens in cone-beam computed tomography images. A datatest of anonymized 851 axial slices of 106 p...