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...
Enregistré dans:
Auteurs principaux: | In-Hwan Kim, Young-Gon Kim, Sungchul Kim, Jae-Woo Park, Namkug Kim |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/da86601e38c44724a513d0a20be5513c |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Realistic high-resolution lateral cephalometric radiography generated by progressive growing generative adversarial network and quality evaluations
par: Mingyu Kim, et autres
Publié: (2021) -
Author Correction: Realistic high-resolution lateral cephalometric radiography generated by progressive growing generative adversarial network and quality evaluations
par: Mingyu Kim, et autres
Publié: (2021) -
Effectiveness of transfer learning for enhancing tumor classification with a convolutional neural network on frozen sections
par: Young-Gon Kim, et autres
Publié: (2020) -
Author Correction: Fully Automatic System for Accurate Localisation and Analysis of Cephalometric Landmarks in Lateral Cephalograms
par: Claudia Lindner, et autres
Publié: (2021) -
Development of fully automated anterior chamber cell analysis based on image software
par: Tae Seen Kang, et autres
Publié: (2021)