Home ›
Entities
› academia
› Age estimation based on 3D pulp chamber segmentation of first molars from cone-beam–computed tomography by integrated deep learning and level set
Age estimation based on 3D pulp chamber segmentation of first molars from cone-beam–computed tomography by integrated deep learning and level set
Research article (International Journal of Legal Medicine, 2020) · cited 42× · AI/ML
Age estimation based on 3D pulp chamber segmentation of first molars from cone-beam–computed tomography by integrated deep learning and level set
Summary
Age estimation based on 3D pulp chamber segmentation of first molars from cone-beam–computed tomography by integrated deep learning and level set is a scholarly article[1].
Key Facts
Age estimation based on 3D pulp chamber segmentation of first molars from cone-beam–computed tomography by integrated deep learning and level set's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Age estimation based on 3D pulp chamber segmentation of first molars from cone-beam–computed tomography by integrated deep learning and level set. Retrieved May 24, 2026, from https://4ort.xyz/entity/age-estimation-based-on-3d-pulp-chamber-segmentation-of-first-molars-from-cone-beamcomputed-tomography-by-integrated-dee
MLA“Age estimation based on 3D pulp chamber segmentation of first molars from cone-beam–computed tomography by integrated deep learning and level set.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/age-estimation-based-on-3d-pulp-chamber-segmentation-of-first-molars-from-cone-beamcomputed-tomography-by-integrated-dee.
BibTeX@misc{4ortxyz_age-estimation-based-on-3d-pulp-chamber-segmentation-of-first-molars-from-cone-beamcomputed-tomography-by-integrated-dee_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Age estimation based on 3D pulp chamber segmentation of first molars from cone-beam–computed tomography by integrated deep learning and level set}}, year = {2026}, url = {https://4ort.xyz/entity/age-estimation-based-on-3d-pulp-chamber-segmentation-of-first-molars-from-cone-beamcomputed-tomography-by-integrated-dee}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Age estimation based on 3D pulp chamber segmentation of first molars from cone-beam–computed tomography by integrated deep learning and level set — https://4ort.xyz/entity/age-estimation-based-on-3d-pulp-chamber-segmentation-of-first-molars-from-cone-beamcomputed-tomography-by-integrated-dee (retrieved 2026-05-24)