Zobrazeno 1 - 10
of 43
pro vyhledávání: '"İbrahim Şevki BAYRAKDAR"'
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-14 (2024)
Abstract Background We explored whether the feature aggregation and refinement network (FARNet) algorithm accurately identified posteroanterior (PA) cephalometric landmarks. Methods We identified 47 landmarks on 1,431 PA cephalograms of which 1,177 w
Externí odkaz:
https://doaj.org/article/88fcb5f88fb0469da3cc7d383c783dd7
Autor:
Oğuzhan Altun, Duygu Çelik Özen, Şuayip Burak Duman, Numan Dedeoğlu, İbrahim Şevki Bayrakdar, Gözde Eşer, Özer Çelik, Muhammed Akif Sümbüllü, Ali Zakir Syed
Publikováno v:
BMC Oral Health, Vol 24, Iss 1, Pp 1-15 (2024)
Abstract Background Maxillofacial complex automated segmentation could alternative traditional segmentation methods to increase the effectiveness of virtual workloads. The use of DL systems in the detection of maxillary sinus and pathologies will bot
Externí odkaz:
https://doaj.org/article/63d90640b3f648b4acd19e07a7a1f500
Autor:
Ayça Kurt, Dilara Nil Günaçar, Fatma Yanık Şılbır, Zeynep Yeşil, İbrahim Şevki Bayrakdar, Özer Çelik, Elif Bilgir, Kaan Orhan
Publikováno v:
BMC Oral Health, Vol 24, Iss 1, Pp 1-14 (2024)
Abstract 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 from child patients. Methods The study collected a total of 1500 im
Externí odkaz:
https://doaj.org/article/1848ea4494f24be89e4055ea55193318
Autor:
Nilgün AKGÜL, Cemile YILMAZ, Elif BILGIR, Özer ÇELIK, Oğuzhan BAYDAR, İbrahim Şevki BAYRAKDAR
Publikováno v:
Brazilian Oral Research, Vol 38 (2024)
Abstract Dental fillings, frequently used in dentistry to address various dental tissue issues, may pose problems when not aligned with the anatomical contours and physiology of dental and periodontal tissues. Our study aims to detect the prevalence
Externí odkaz:
https://doaj.org/article/03fe41850df84b99b476661e43a65af7
Autor:
Sevda Kurt-Bayrakdar, İbrahim Şevki Bayrakdar, Muhammet Burak Yavuz, Nichal Sali, Özer Çelik, Oğuz Köse, Bilge Cansu Uzun Saylan, Batuhan Kuleli, Rohan Jagtap, Kaan Orhan
Publikováno v:
BMC Oral Health, Vol 24, Iss 1, Pp 1-15 (2024)
Abstract Background This retrospective study aimed to develop a deep learning algorithm for the interpretation of panoramic radiographs and to examine the performance of this algorithm in the detection of periodontal bone losses and bone loss pattern
Externí odkaz:
https://doaj.org/article/d2ab7881ae44451cad7cf9ff73860477
Autor:
İrem Bağ, Elif Bilgir, İbrahim Şevki Bayrakdar, Oğuzhan Baydar, Fatih Mehmet Atak, Özer Çelik, Kaan Orhan
Publikováno v:
BMC Oral Health, Vol 23, Iss 1, Pp 1-8 (2023)
Abstract Background Panoramic radiographs, in which anatomic landmarks can be observed, are used to detect cases closely related to pediatric dentistry. The purpose of the study is to investigate the success and reliability of the detection of maxill
Externí odkaz:
https://doaj.org/article/1f28bc8cae434837ad1214dfb35017f9
Publikováno v:
European Annals of Dental Sciences, Vol 50, Iss 1, Pp 12-16 (2023)
Purpose: This study aims to examine the diagnostic performance of detecting pulp stones with a deep learning model on bite-wing radiographs. Material and Methods: 2203 radiographs were scanned retrospectively. 1745 pulp stones were marked on 1269 bit
Externí odkaz:
https://doaj.org/article/3609e5a46f7b460f96b01289a43b4310
Publikováno v:
Diagnostics, Vol 14, Iss 9, p 890 (2024)
This study aims to evaluate the effectiveness of employing a deep learning approach for the automated detection of pulp stones in panoramic imaging. A comprehensive dataset comprising 2409 panoramic radiography images (7564 labels) underwent labeling
Externí odkaz:
https://doaj.org/article/f7d553d9a78b4b2cbd70b9859165667b
Publikováno v:
European Annals of Dental Sciences, Vol 49, Iss 1, Pp 1-4 (2022)
Aim: The aim of this study is to create a model that enables the detection of dentigerous cysts on panoramic radiographs in order to enable dentistry students to meet and apply artificial intelligence applications. Methods: E.O. and I.T. who are 5th
Externí odkaz:
https://doaj.org/article/9831f41df1484eb18786e81fa69bb233
Autor:
Elif Bilgir, İbrahim Şevki Bayrakdar, Özer Çelik, Kaan Orhan, Fatma Akkoca, Hande Sağlam, Alper Odabaş, Ahmet Faruk Aslan, Cemre Ozcetin, Musa Kıllı, Ingrid Rozylo-Kalinowska
Publikováno v:
BMC Medical Imaging, Vol 21, Iss 1, Pp 1-9 (2021)
Abstract Background Panoramic radiography is an imaging method for displaying maxillary and mandibular teeth together with their supporting structures. Panoramic radiography is frequently used in dental imaging due to its relatively low radiation dos
Externí odkaz:
https://doaj.org/article/4bd8f58f8de34120b7c2e968a7237ea5