Fully automatic shape constrained mandible segmentation from cone-beam CT data
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx5/6227656/6235468/06235794.pdf?arnumber=6235794
Cited by 29 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. MAFNet: A deep multi-scale attentive fusion network for virtual osteotomy of maxillofacial bones in CT images containing metal artifacts;Biomedical Signal Processing and Control;2024-09
2. Mandible Segmentation from CT and CBCT Images Based on a Patch-Based Convolutional Neural Network;2023 International Conference on Machine Learning and Applications (ICMLA);2023-12-15
3. 3D tooth segmentation in cone-beam computed tomography images using distance transform;Biomedical Signal Processing and Control;2023-01
4. Jawbone Segmentation with Trabecular Bone Preservation from Cone Beam CT Images;Applied Sciences;2022-01-31
5. Review on Segmentation of Facial Bone Surface from Craniofacial CT Images;Computer Networks, Big Data and IoT;2022
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