Convolutional neural network

Artificial intelligence

Orthodontics

Radiography

Pattern recognition (psychology)

Bounding overwatch

Computer science

Receiver operating characteristic

Internal medicine

Radiology

Panoramic radiograph

Medicine

International Journal of Oral and Maxillofacial Surgery

The aim of this study was to develop automated models for the identification and detection of mandibular fractures in panoramic radiographs using convolutional neural network (CNN) algorithms. A total of 1710 panoramic radiograph images from the years 2016 to 2020, including 855 images containing mandibular fractures, were obtained retrospectively from the regional trauma centre. CNN-based classification models, DenseNet-169 and ResNet-50, were fabricated to identify fractures in the radiographic images.

Assessment of deep convolutional neural network models for mandibular fracture detection in panoramic radiographs