Texture-Based Neural Network Model for Biometric Dental Applications

Background: The aim is to classify dentition using a novel texture-based automated convolutional neural network (CNN) for forensic and prosthetic applications. Methods: Natural human teeth (n = 600) were classified, cleaned, and inspected for exclusion criteria. The teeth were scanned with an intrao...

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Detalles Bibliográficos
Autores principales: Saleh, Omnia, Nozaki, Kosuke, Matsumura, Mayuko, Yanaka, Wataru, Miura, Hiroyuki, Fueki, Kenji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9781388/
https://www.ncbi.nlm.nih.gov/pubmed/36556175
http://dx.doi.org/10.3390/jpm12121954

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9781388/
https://www.ncbi.nlm.nih.gov/pubmed/36556175
http://dx.doi.org/10.3390/jpm12121954

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