Cargando…
A Deep Learning Model for Idiopathic Osteosclerosis Detection on Panoramic Radiographs
OBJECTIVE: The purpose of the study was to create an artificial intelligence (AI) system for detecting idiopathic osteosclerosis (IO) on panoramic radiographs for automatic, routine, and simple evaluations. SUBJECT AND METHODS: In this study, a deep learning method was carried out with panoramic rad...
Autores principales: | Yesiltepe, Selin, Bayrakdar, Ibrahim Sevki, Orhan, Kaan, Çelik, Özer, Bilgir, Elif, Aslan, Ahmet Faruk, Odabaş, Alper, Costa, Andre Luiz Ferreira, Jagtap, Rohan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
S. Karger AG
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9841764/ https://www.ncbi.nlm.nih.gov/pubmed/36167054 http://dx.doi.org/10.1159/000527145 |
Ejemplares similares
-
An artifıcial ıntelligence approach to automatic tooth detection and numbering in panoramic radiographs
por: Bilgir, Elif, et al.
Publicado: (2021) -
A U-Net Approach to Apical Lesion Segmentation on Panoramic Radiographs
por: Bayrakdar, Ibrahim S., et al.
Publicado: (2022) -
An artificial intelligence study: automatic description of anatomic landmarks on panoramic radiographs in the pediatric population
por: Bağ, İrem, et al.
Publicado: (2023) -
Assessing the Effectiveness of Artificial Intelligence Models for Detecting Alveolar Bone Loss in Periodontal Disease: A Panoramic Radiograph Study
por: Uzun Saylan, Bilge Cansu, et al.
Publicado: (2023) -
Automatic Feature Segmentation in Dental Periapical Radiographs
por: Ari, Tugba, et al.
Publicado: (2022)