Transfer Learning via Deep Neural Networks for Implant Fixture System Classification Using Periapical Radiographs

In the absence of accurate medical records, it is critical to correctly classify implant fixture systems using periapical radiographs to provide accurate diagnoses and treatments to patients or to respond to complications. The purpose of this study was to evaluate whether deep neural networks can id...

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Detalles Bibliográficos
Autores principales: Kim, Jong-Eun, Nam, Na-Eun, Shim, June-Sung, Jung, Yun-Hoa, Cho, Bong-Hae, Hwang, Jae Joon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7230319/
https://www.ncbi.nlm.nih.gov/pubmed/32295304
http://dx.doi.org/10.3390/jcm9041117

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7230319/
https://www.ncbi.nlm.nih.gov/pubmed/32295304
http://dx.doi.org/10.3390/jcm9041117

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