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Improving performance of deep learning models using 3.5D U-Net via majority voting for tooth segmentation on cone beam computed tomography
Research article (Scientific Reports, 2022) · cited 41× · AI/ML
Improving performance of deep learning models using 3.5D U-Net via majority voting for tooth segmentation on cone beam computed tomography
Summary
Improving performance of deep learning models using 3.5D U-Net via majority voting for tooth segmentation on cone beam computed tomography is a scholarly article[1].
Key Facts
Improving performance of deep learning models using 3.5D U-Net via majority voting for tooth segmentation on cone beam computed tomography's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Improving performance of deep learning models using 3.5D U-Net via majority voting for tooth segmentation on cone beam computed tomography. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-performance-of-deep-learning-models-using-3-5d-u-net-via-majority-voting-for-tooth-segmentation-on-cone-beam-c
MLA“Improving performance of deep learning models using 3.5D U-Net via majority voting for tooth segmentation on cone beam computed tomography.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-performance-of-deep-learning-models-using-3-5d-u-net-via-majority-voting-for-tooth-segmentation-on-cone-beam-c.
BibTeX@misc{4ortxyz_improving-performance-of-deep-learning-models-using-3-5d-u-net-via-majority-voting-for-tooth-segmentation-on-cone-beam-c_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving performance of deep learning models using 3.5D U-Net via majority voting for tooth segmentation on cone beam computed tomography}}, year = {2026}, url = {https://4ort.xyz/entity/improving-performance-of-deep-learning-models-using-3-5d-u-net-via-majority-voting-for-tooth-segmentation-on-cone-beam-c}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improving performance of deep learning models using 3.5D U-Net via majority voting for tooth segmentation on cone beam computed tomography — https://4ort.xyz/entity/improving-performance-of-deep-learning-models-using-3-5d-u-net-via-majority-voting-for-tooth-segmentation-on-cone-beam-c (retrieved 2026-05-24)
