This paper proposes a convolutional neural network (CNN)-based deep learning model for
predicting the difficulty of extracting a mandibular third molar using a panoramic …

Abstract Pell and Gregory, and Winter's classifications are frequently implemented to classify
the mandibular third molars and are crucial for safe tooth extraction. This study aimed to …

Extraction of mandibular third molars is a common procedure in oral and maxillofacial
surgery. There are studies that simultaneously predict the extraction difficulty of mandibular …

Objective The aim of this study was to compare time and storage space requirements,
diagnostic performance, and consistency among 3 image recognition convolutional neural …

Objective The aim of this study was to create and assess a deep learning model using
segmentation and transfer learning methods to visualize the proximity of the mandibular …

In this study, the accuracy of the positional relationship of the contact between the inferior
alveolar canal and mandibular third molar was evaluated using deep learning. In contact …

Objective The aim of this study is to automatically assess the positional relationship between
lower third molars (M3i) and the mandibular canal (MC) based on the panoramic radiograph …

Determining the exact positional relationship between mandibular third molar (M3) and
inferior alveolar nerve (IAN) is important for surgical extractions. Panoramic radiography is …

The purpose of this study was to determine whether convolutional neural networks (CNNs)
can predict paresthesia of the inferior alveolar nerve using panoramic radiographic images …

Computer-assisted analysis of dental radiograph in dentistry is getting increasing attention
from the researchers in recent years. This is mainly because it can successfully reduce …