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Clinical feasibility of deep learning-based automatic head CBCT image segmentation and landmark detection in computer-aided surgical simulation for orthognathic surgery

Research article (International Journal of Oral and Maxillofacial Surgery, 2022) · cited 26× · AI/ML
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Clinical feasibility of deep learning-based automatic head CBCT image segmentation and landmark detection in computer-aided surgical simulation for orthognathic surgery

Summary

Clinical feasibility of deep learning-based automatic head CBCT image segmentation and landmark detection in computer-aided surgical simulation for orthognathic surgery is a scholarly article[1].

Key Facts

  • Clinical feasibility of deep learning-based automatic head CBCT image segmentation and landmark detection in computer-aided surgical simulation for orthognathic surgery's instance of is recorded as scholarly article[2].

Related Entities

Pingkun Yan

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Clinical feasibility of deep learning-based automatic head CBCT image segmentation and landmark detection in computer-aided surgical simulation for orthognathic surgery. Retrieved May 24, 2026, from https://4ort.xyz/entity/clinical-feasibility-of-deep-learning-based-automatic-head-cbct-image-segmentation-and-landmark-detection-in-computer-ai
MLA “Clinical feasibility of deep learning-based automatic head CBCT image segmentation and landmark detection in computer-aided surgical simulation for orthognathic surgery.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/clinical-feasibility-of-deep-learning-based-automatic-head-cbct-image-segmentation-and-landmark-detection-in-computer-ai.
BibTeX @misc{4ortxyz_clinical-feasibility-of-deep-learning-based-automatic-head-cbct-image-segmentation-and-landmark-detection-in-computer-ai_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Clinical feasibility of deep learning-based automatic head CBCT image segmentation and landmark detection in computer-aided surgical simulation for orthognathic surgery}}, year = {2026}, url = {https://4ort.xyz/entity/clinical-feasibility-of-deep-learning-based-automatic-head-cbct-image-segmentation-and-landmark-detection-in-computer-ai}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Clinical feasibility of deep learning-based automatic head CBCT image segmentation and landmark detection in computer-aided surgical simulation for orthognathic surgery — https://4ort.xyz/entity/clinical-feasibility-of-deep-learning-based-automatic-head-cbct-image-segmentation-and-landmark-detection-in-computer-ai (retrieved 2026-05-24)

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