Evaluating the performance of generative adversarial network-synthesized periapical images in classifying C-shaped root canals

This study evaluated the performance of generative adversarial network (GAN)-synthesized periapical images for classifying C-shaped root canals, which are challenging to diagnose because of their complex morphology. GANs have emerged as a promising technique for generating realistic images, offering...

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Detalles Bibliográficos
Autores principales: Yang, Sujin, Kim, Kee-Deog, Ariji, Eiichiro, Takata, Natsuho, Kise, Yoshitaka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10590373/
https://www.ncbi.nlm.nih.gov/pubmed/37865655
http://dx.doi.org/10.1038/s41598-023-45290-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10590373/
https://www.ncbi.nlm.nih.gov/pubmed/37865655
http://dx.doi.org/10.1038/s41598-023-45290-1

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