Evaluation of artificial intelligence for detecting periapical lesions on panoramic radiographs

Autor: Ünal Suay Yağmur, Keser Gaye, Namdar Pekiner Filiz, Yildızbaş Zeynep, Kurt Mehmet Ali

Publikováno v: Balkan Journal of Dental Medicine, Vol 28, Iss 1, Pp 64-70 (2024)

Background/Aim: The aim of this study is to evaluate the function of diagnostic computer software designed for the detection of periapical lesions on panoramic images with deep learning methods. Material and Methods: In our study, more than 500 adult

Externí odkaz: https://doaj.org/article/6dcb9f4e75524d88acdf3d563b1388fa

Plaut-Vincent Stomatitis: A Case Report.

Autor: ÜNAL, Suay Yağmur, KESER, Gaye, NAMDAR PEKİNER, Filiz

Publikováno v: European Journal of Research in Dentistry; 2023, Vol. 7 Issue 3, p158-162, 5p

Evaluation of the mandibular canal and the third mandibular molar relationship by CBCT with a deep learning approach.

Autor: Ünal SY; Faculty of Dentistry, Department of Oral and Maxillofacial Radiology, Marmara University, Başıbüyük, Başıbüyük Başıbüyük Yolu Marmara Üniversitesi, Sağlık Yerleşkesi 9/3, 34854, Maltepe, Istanbul, Turkey. Suayyagmurunal@gmail.com., Namdar Pekiner F; Faculty of Dentistry, Department of Oral and Maxillofacial Radiology, Marmara University, Başıbüyük, Başıbüyük Başıbüyük Yolu Marmara Üniversitesi, Sağlık Yerleşkesi 9/3, 34854, Maltepe, Istanbul, Turkey.

Publikováno v: Oral radiology [Oral Radiol] 2024 Dec 11. Date of Electronic Publication: 2024 Dec 11.