Using deep learning to predict temporomandibular joint disc perforation based on magnetic resonance imaging

Abstract The goal of this study was to develop a deep learning-based algorithm to predict temporomandibular joint (TMJ) disc perforation based on the findings of magnetic resonance imaging (MRI) and to validate its performance through comparison with previously reported results. The study objects we...

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Bibliographic Details
Main Authors: Jae-Young Kim, Dongwook Kim, Kug Jin Jeon, Hwiyoung Kim, Jong-Ki Huh
Format: Article
Language:English
Published: Nature Publishing Group 2021-03-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-86115-3