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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Bibliographic Details
Published in: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
Language:Inglês
Published: MDPI 2021
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Online Access: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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