Recurrent Convolutional Neural Networks for 3D Mandible Segmentation in Computed Tomography

Purpose: Classic encoder–decoder-based convolutional neural network (EDCNN) approaches cannot accurately segment detailed anatomical structures of the mandible in computed tomography (CT), for instance, condyles and coronoids of the mandible, which are often affected by noise and metal artifacts. Th...

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Bibliografiske detaljer
Udgivet i:J Pers Med
Main Authors: Qiu, Bingjiang, Guo, Jiapan, Kraeima, Joep, Glas, Haye Hendrik, Zhang, Weichuan, Borra, Ronald J. H., Witjes, Max Johannes Hendrikus, van Ooijen, Peter M. A.
Format: Artigo
Sprog:Inglês
Udgivet: MDPI 2021
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Article
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC8229770/
https://ncbi.nlm.nih.gov/pubmed/34072714
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/jpm11060492
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