Comparing intra-observer variation and external variations of a fully automated cephalometric analysis with a cascade convolutional neural net

Abstract The quality of cephalometric analysis depends on the accuracy of the delineating landmarks in orthodontic and maxillofacial surgery. Due to the extensive number of landmarks, each analysis costs orthodontists considerable time per patient, leading to fatigue and inter- and intra-observer va...

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Auteurs principaux: In-Hwan Kim, Young-Gon Kim, Sungchul Kim, Jae-Woo Park, Namkug Kim
Format: article
Langue:EN
Publié: Nature Portfolio 2021
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Accès en ligne:https://doaj.org/article/da86601e38c44724a513d0a20be5513c
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