Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Yasin, Yasa"'
Autor:
Furkan Ozbey, Dilek Coban, Busra Nur Gokkurt, Tunahan Tuna, Yasin Yasa, Zerrin Unal Erzurumlu, Elif Sadik
Publikováno v:
Heliyon, Vol 10, Iss 1, Pp e24092- (2024)
Objective: The aim of this study is to evaluate the knowledge and awareness levels of patients who have at least one impacted tooth and who had previously applied to the dentist. Study design: This study was conducted in patients aged 15 years and ol
Externí odkaz:
https://doaj.org/article/726231d56723401c8d0bb087576b8ea4
Publikováno v:
Engineering Science and Technology, an International Journal, Vol 37, Iss , Pp 101316- (2023)
Dental problems are one of the most common health problems for people. To detect and analyze these problems, dentists often use panoramic radiographs that show the entire mouth and have low radiation exposure and exposure time. Analyzing these radiog
Externí odkaz:
https://doaj.org/article/b73acba3d44a4efab856994191141348
Autor:
Selin Yeşiltepe, Hande Sağlam, Suayip Burak Duman, Ibrahim Sevki Bayrakdar, Yasin Yasa, Numan Dedeoğlu
Publikováno v:
Journal of Ege University School of Dentistry. 43:169-174
Autor:
Samet Atasoy, Yasin Yasa, Kaan Orhan, Özer Çelik, Hande Sağlam, Ibrahim Sevki Bayrakdar, Alper Odabaş, Serdar Akarsu, Ahmet Faruk Aslan, Elif Bilgir, Adem Pekince
Publikováno v:
Oral Radiology. 38:468-479
The aim of this study is to recommend an automatic caries detection and segmentation model based on the Convolutional Neural Network (CNN) algorithms in dental bitewing radiographs using VGG-16 and U-Net architecture and evaluate the clinical perform
Publikováno v:
2022 Medical Technologies Congress (TIPTEKNO).
Publikováno v:
Journal of Craniofacial Surgery. 31:1149-1152
The authors compared the morphological features of the Eustachian tube (ET) between patients with cleft lip and palate (CL/P) and normal controls using cone-beam computed tomography (CBCT). CBCT images of 51 CL/P patients (28 males and 23 females, me
Autor:
Ibrahim Sevki, Bayrakdar, Kaan, Orhan, Serdar, Akarsu, Özer, Çelik, Samet, Atasoy, Adem, Pekince, Yasin, Yasa, Elif, Bilgir, Hande, Sağlam, Ahmet Faruk, Aslan, Alper, Odabaş
Publikováno v:
Oral radiology. 38(4)
The aim of this study is to recommend an automatic caries detection and segmentation model based on the Convolutional Neural Network (CNN) algorithms in dental bitewing radiographs using VGG-16 and U-Net architecture and evaluate the clinical perform
Publikováno v:
Oral Radiology. 36:320-326
The aim of the present study is to identify the prevalence of radix entomolaris in mandibular first and second molars and to determine morphological classifications and associations with other root and canals. Mandibular first and second molar teeth
Autor:
Ibrahim Sevki Bayrakdar, Kaan Orhan, Özer Çelik, Yasin Yasa, Samet Atasoy, Serdar Akarsu, Elif Bilgir, Adem Pekince, Alper Odabaş, Ahmet Faruk Aslan
Publikováno v:
Acta odontologica Scandinavica. 79(4)
Radiological examination has an important place in dental practice, and it is frequently used in intraoral imaging. The correct numbering of teeth on radiographs is a routine practice that takes time for the dentist. This study aimed to propose an au
Publikováno v:
Oral Radiology. 38:443-443