Home ›
Entities
› academia
› Tooth instance segmentation based on capturing dependencies and receptive field adjustment in cone beam computed tomography
Tooth instance segmentation based on capturing dependencies and receptive field adjustment in cone beam computed tomography
Research article (Computer Animation and Virtual Worlds, 2022) · cited 18× · AI/ML
Tooth instance segmentation based on capturing dependencies and receptive field adjustment in cone beam computed tomography
Summary
Tooth instance segmentation based on capturing dependencies and receptive field adjustment in cone beam computed tomography is a scholarly article[1].
Key Facts
Tooth instance segmentation based on capturing dependencies and receptive field adjustment in cone beam computed tomography'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). Tooth instance segmentation based on capturing dependencies and receptive field adjustment in cone beam computed tomography. Retrieved May 24, 2026, from https://4ort.xyz/entity/tooth-instance-segmentation-based-on-capturing-dependencies-and-receptive-field-adjustment-in-cone-beam-computed-tomogra
MLA“Tooth instance segmentation based on capturing dependencies and receptive field adjustment in cone beam computed tomography.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/tooth-instance-segmentation-based-on-capturing-dependencies-and-receptive-field-adjustment-in-cone-beam-computed-tomogra.
BibTeX@misc{4ortxyz_tooth-instance-segmentation-based-on-capturing-dependencies-and-receptive-field-adjustment-in-cone-beam-computed-tomogra_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Tooth instance segmentation based on capturing dependencies and receptive field adjustment in cone beam computed tomography}}, year = {2026}, url = {https://4ort.xyz/entity/tooth-instance-segmentation-based-on-capturing-dependencies-and-receptive-field-adjustment-in-cone-beam-computed-tomogra}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Tooth instance segmentation based on capturing dependencies and receptive field adjustment in cone beam computed tomography — https://4ort.xyz/entity/tooth-instance-segmentation-based-on-capturing-dependencies-and-receptive-field-adjustment-in-cone-beam-computed-tomogra (retrieved 2026-05-24)
