The Use of Artificial Intelligence for the Classification of Craniofacial Deformities

Positional cranial deformities are a common finding in toddlers, yet differentiation from craniosynostosis can be challenging. The aim of this study was to train convolutional neural networks (CNNs) to classify craniofacial deformities based on 2D images generated using photogrammetry as a radiation...

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Detalles Bibliográficos
Autores principales: Kuehle, Reinald, Ringwald, Friedemann, Bouffleur, Frederic, Hagen, Niclas, Schaufelberger, Matthias, Nahm, Werner, Hoffmann, Jürgen, Freudlsperger, Christian, Engel, Michael, Eisenmann, Urs
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10672418/
https://www.ncbi.nlm.nih.gov/pubmed/38002694
http://dx.doi.org/10.3390/jcm12227082

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10672418/
https://www.ncbi.nlm.nih.gov/pubmed/38002694
http://dx.doi.org/10.3390/jcm12227082

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