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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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Detaylı Bibliyografya
Yayımlandı:J Pers Med
Asıl Yazarlar: Qiu, Bingjiang, Guo, Jiapan, Kraeima, Joep, Glas, Haye Hendrik, Zhang, Weichuan, Borra, Ronald J. H., Witjes, Max Johannes Hendrikus, van Ooijen, Peter M. A.
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: MDPI 2021
Konular:
Online Erişim: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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