YOLO-V5 based deep learning approach for tooth detection and segmentation on pediatric panoramic radiographs in mixed dentition

B Beser, T Reis, MN Berber, E Topaloglu, E Gungor… - BMC medical …, 2024 - Springer
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 …

Evaluation of tooth development stages with deep learning-based artificial intelligence algorithm

A Kurt, DN Günaçar, FY Şılbır, Z Yeşil, İŞ Bayrakdar… - BMC Oral Health, 2024 - Springer
Background This study aims to evaluate the performance of a deep learning system for the
evaluation of tooth development stages on images obtained from panoramic radiographs …

Proposing a CNN method for primary and permanent tooth detection and enumeration on pediatric dental radiographs

E Kaya, HG Gunec, SS Gokyay… - Journal of Clinical …, 2022 - meridian.allenpress.com
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 …

[HTML][HTML] A deep learning approach to permanent tooth germ detection on pediatric panoramic radiographs

E Kaya, HG Gunec, KC Aydin, ES Urkmez… - Imaging science in …, 2022 - ncbi.nlm.nih.gov
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 …

Deep Learning for Diagnostic Charting on Pediatric Panoramic Radiographs.

E Kaya, HG Güneç, EŞ Ürkmez… - International Journal of …, 2023 - europepmc.org
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 …

[PDF][PDF] The Sensitivity and Specificity of YOLO V4 for Tooth Detection on Panoramic Radiographs

ER Astuti, RH Putra, DK Putri, NF Ramadhani… - Journal of International …, 2023 - jidmr.com
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 …

Automated permanent tooth detection and numbering on panoramic radiograph using a deep learning approach

RH Putra, ER Astuti, DK Putri, M Widiasri… - Oral Surgery, Oral …, 2024 - Elsevier
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 …

Tooth Detection and Numbering in Panoramic Radiographs Using YOLOv8-Based Approach

FRS Teles, AC Mendes, AC Paiva, JDS Almeida… - … Conference on Wireless …, 2023 - Springer
Before a dental professional performs any procedure or diagnosis, they need to know the
patient's dental arch. For that, it is common for them to ask the patient to take a panoramic …

AI-Driven localization of all impacted teeth and prediction of winter angulation for third molars on panoramic radiographs: Clinical user interface design

T Zirek, MÜ Öziç, M Tassoker - Computers in Biology and Medicine, 2024 - Elsevier
Purpose Impacted teeth are abnormal tooth disorders under the gums or jawbone that
cannot take their normal position even though it is time to erupt. This study aims to detect all …

Developing deep learning methods for classification of teeth in dental panoramic radiography

S Yilmaz, M Tasyurek, M Amuk, M Celik… - Oral Surgery, Oral …, 2024 - Elsevier
Objectives We aimed to develop an artificial intelligence–based clinical dental decision-
support system using deep-learning methods to reduce diagnostic interpretation error and …