A U-Net Approach to Apical Lesion Segmentation on Panoramic Radiographs

The purpose of the paper was the assessment of the success of an artificial intelligence (AI) algorithm formed on a deep-convolutional neural network (D-CNN) model for the segmentation of apical lesions on dental panoramic radiographs. A total of 470 anonymized panoramic radiographs were used to pro...

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Detalles Bibliográficos
Autores principales: Bayrakdar, Ibrahim S., Orhan, Kaan, Çelik, Özer, Bilgir, Elif, Sağlam, Hande, Kaplan, Fatma Akkoca, Görür, Sinem Atay, Odabaş, Alper, Aslan, Ahmet Faruk, Różyło-Kalinowska, Ingrid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8783705/
https://www.ncbi.nlm.nih.gov/pubmed/35075428
http://dx.doi.org/10.1155/2022/7035367

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8783705/
https://www.ncbi.nlm.nih.gov/pubmed/35075428
http://dx.doi.org/10.1155/2022/7035367

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