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Machine Learning in Orthodontics: <i>Introducing a 3d Auto-segmentation and Auto-landmark Finder of Cbct Images To Assess Maxillary Constriction in Unilateral Impacted Canine patients</i>
Research article (The Angle Orthodontist, 2019) · cited 87× · AI/ML
Machine Learning in Orthodontics: Introducing a 3d Auto-segmentation and Auto-landmark Finder of Cbct Images To Assess Maxillary Constriction in Unilateral Impacted Canine patients
Summary
Machine Learning in Orthodontics: Introducing a 3d Auto-segmentation and Auto-landmark Finder of Cbct Images To Assess Maxillary Constriction in Unilateral Impacted Canine patients is a scholarly article[1].
Key Facts
Machine Learning in Orthodontics: Introducing a 3d Auto-segmentation and Auto-landmark Finder of Cbct Images To Assess Maxillary Constriction in Unilateral Impacted Canine patients's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Machine Learning in Orthodontics: <i>Introducing a 3d Auto-segmentation and Auto-landmark Finder of Cbct Images To Assess Maxillary Constriction in Unilateral Impacted Canine patients</i>. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-in-orthodontics-i-introducing-a-3d-auto-segmentation-and-auto-landmark-finder-of-cbct-images-to-assess-
MLA“Machine Learning in Orthodontics: <i>Introducing a 3d Auto-segmentation and Auto-landmark Finder of Cbct Images To Assess Maxillary Constriction in Unilateral Impacted Canine patients</i>.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-in-orthodontics-i-introducing-a-3d-auto-segmentation-and-auto-landmark-finder-of-cbct-images-to-assess-.
BibTeX@misc{4ortxyz_machine-learning-in-orthodontics-i-introducing-a-3d-auto-segmentation-and-auto-landmark-finder-of-cbct-images-to-assess-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine Learning in Orthodontics: <i>Introducing a 3d Auto-segmentation and Auto-landmark Finder of Cbct Images To Assess Maxillary Constriction in Unilateral Impacted Canine patients</i>}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-in-orthodontics-i-introducing-a-3d-auto-segmentation-and-auto-landmark-finder-of-cbct-images-to-assess-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine Learning in Orthodontics: <i>Introducing a 3d Auto-segmentation and Auto-landmark Finder of Cbct Images To Assess Maxillary Constriction in Unilateral Impacted Canine patients</i> — https://4ort.xyz/entity/machine-learning-in-orthodontics-i-introducing-a-3d-auto-segmentation-and-auto-landmark-finder-of-cbct-images-to-assess- (retrieved 2026-05-24)
