Deep Learning for the Radiographic Detection of Periodontal Bone Loss

We applied deep convolutional neural networks (CNNs) to detect periodontal bone loss (PBL) on panoramic dental radiographs. We synthesized a set of 2001 image segments from panoramic radiographs. Our reference test was the measured % of PBL. A deep feed-forward CNN was trained and validated via 10-t...

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Detalles Bibliográficos
Autores principales: Krois, Joachim, Ekert, Thomas, Meinhold, Leonie, Golla, Tatiana, Kharbot, Basel, Wittemeier, Agnes, Dörfer, Christof, Schwendicke, Falk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6560098/
https://www.ncbi.nlm.nih.gov/pubmed/31186466
http://dx.doi.org/10.1038/s41598-019-44839-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6560098/
https://www.ncbi.nlm.nih.gov/pubmed/31186466
http://dx.doi.org/10.1038/s41598-019-44839-3

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