This study aimed to evaluate the performance of You Only Look Once (YOLO) v4
architecture for tooth detection on panoramic radiographs by calculating the sensitivity and …

Objective This study aimed to assess the performance of the deep learning (DL) model for
automated tooth numbering in panoramic radiographs. Study Design The dataset of 500 …

Objectives In the interpretation of panoramic radiographs (PRs), the identification and
numbering of teeth is an important part of the correct diagnosis. This study evaluates the …

The study aimed to evaluate the impact of image size, area of detection (IoU) thresholds and
confidence thresholds on the performance of the YOLO models in the detection of dental …

Objective: In this paper, we aimed to evaluate the performance of a deep learning system for
automated tooth detection and numbering on pediatric panoramic radiographs. Study …

Accurate tooth numbering is essential for dental procedures, treatment planning, and patient
record management. Automatic tooth enumeration in dental panoramic radiographs is …

Artificial intelligence (AI) based systems are used in dentistry to make the diagnostic process
more accurate and efficient. The objective of this study was to evaluate the performance of a …

Purpose The aim of this study was to assess the performance of a deep learning system for
permanent tooth germ detection on pediatric panoramic radiographs. Materials and Methods …

Objectives To evaluate the diagnostic performance of three versions of a deep-learning
convolutional neural network in terms of object detection and segmentation using a …

Oral health is one of most major concerns that affect the life quality of billions of people
around the world. Diagnosis treatment usually takes time due to the lack of doctors …