Deep ensemble learning-driven fully automated multi-structure segmentation for precision craniomaxillofacial surgery

Deep ensemble learning-driven fully automated multi-structure segmentation for precision craniomaxillofacial surgery

ObjectivesAccurate segmentation of craniomaxillofacial (CMF) structures and individual teeth is essential for advancing computer-assisted CMF surgery. This study developed CMF-ELSeg, a novel fully automatic multi-structure segmentation model based on deep ensemble learning.MethodsA total of 143 CMF...

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Main Authors: Jiahao Bao, Zongcai Tan, Yifeng Sun, Xinyu Xu, Huazhen Liu, Weiyi Cui, Yang Yang, Mengjia Cheng, Yiming Wang, Congshuang Ku, Yuen Ka Ho, Jiayi Zhu, Linfeng Fan, Dahong Qian, Shunyao Shen, Yaofeng Wen, Hongbo Yu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Bioengineering and Biotechnology
Subjects:
deep learning
craniomaxillofacial surgery
virtual surgical planning
computed tomography
segmentation
Online Access:https://www.frontiersin.org/articles/10.3389/fbioe.2025.1580502/full
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https://www.frontiersin.org/articles/10.3389/fbioe.2025.1580502/full

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