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Diagnosis and prediction of periodontally compromised teeth using a deep learning-based convolutional neural network algorithm

PURPOSE: The aim of the current study was to develop a computer-assisted detection system based on a deep convolutional neural network (CNN) algorithm and to evaluate the potential usefulness and accuracy of this system for the diagnosis and prediction of periodontally compromised teeth (PCT). METHO...

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Dades bibliogràfiques
Publicat a:J Periodontal Implant Sci
Autors principals: Lee, Jae-Hong, Kim, Do-hyung, Jeong, Seong-Nyum, Choi, Seong-Ho
Format: Artigo
Idioma:Inglês
Publicat: Korean Academy of Periodontology 2018
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC5944222/
https://ncbi.nlm.nih.gov/pubmed/29770240
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.5051/jpis.2018.48.2.114
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