Home › Entities › academia › Fully Convolutional Mandible Segmentation on a valid Ground- Truth Dataset

Fully Convolutional Mandible Segmentation on a valid Ground- Truth Dataset

Research article (2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018) · cited 34× · AI/ML
academia openalex:W2899405966
Press Enter · cited answer in seconds

Fully Convolutional Mandible Segmentation on a valid Ground- Truth Dataset

Summary

Fully Convolutional Mandible Segmentation on a valid Ground- Truth Dataset is a scholarly article[1].

Key Facts

  • Fully Convolutional Mandible Segmentation on a valid Ground- Truth Dataset's instance of is recorded as scholarly article[2].

Related Entities

Dieter Schmalstieg

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). Fully Convolutional Mandible Segmentation on a valid Ground- Truth Dataset. Retrieved May 24, 2026, from https://4ort.xyz/entity/fully-convolutional-mandible-segmentation-on-a-valid-ground-truth-dataset
MLA “Fully Convolutional Mandible Segmentation on a valid Ground- Truth Dataset.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fully-convolutional-mandible-segmentation-on-a-valid-ground-truth-dataset.
BibTeX @misc{4ortxyz_fully-convolutional-mandible-segmentation-on-a-valid-ground-truth-dataset_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fully Convolutional Mandible Segmentation on a valid Ground- Truth Dataset}}, year = {2026}, url = {https://4ort.xyz/entity/fully-convolutional-mandible-segmentation-on-a-valid-ground-truth-dataset}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Fully Convolutional Mandible Segmentation on a valid Ground- Truth Dataset — https://4ort.xyz/entity/fully-convolutional-mandible-segmentation-on-a-valid-ground-truth-dataset (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/fully-convolutional-mandible-segmentation-on-a-valid-ground-truth-dataset · Last refreshed: