Deep-Learning-Based Detection of Cranio-Spinal Differences between Skeletal Classification Using Cephalometric Radiography

The aim of this study was to reveal cranio-spinal differences between skeletal classification using convolutional neural networks (CNNs). Transverse and longitudinal cephalometric images of 832 patients were used for training and testing of CNNs (365 males and 467 females). Labeling was performed su...

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Detalles Bibliográficos
Autores principales: Jeong, Seung Hyun, Yun, Jong Pil, Yeom, Han-Gyeol, Kim, Hwi Kang, Kim, Bong Chul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8064489/
https://www.ncbi.nlm.nih.gov/pubmed/33806132
http://dx.doi.org/10.3390/diagnostics11040591

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8064489/
https://www.ncbi.nlm.nih.gov/pubmed/33806132
http://dx.doi.org/10.3390/diagnostics11040591

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