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Evaluation of U-Net models in automated cervical spine and cranial bone segmentation using X-ray images for traumatic atlanto-occipital dislocation diagnosis
Research article (Scientific Reports, 2022) · cited 16× · AI/ML
Evaluation of U-Net models in automated cervical spine and cranial bone segmentation using X-ray images for traumatic atlanto-occipital dislocation diagnosis
Summary
Evaluation of U-Net models in automated cervical spine and cranial bone segmentation using X-ray images for traumatic atlanto-occipital dislocation diagnosis is a scholarly article[1].
Key Facts
Evaluation of U-Net models in automated cervical spine and cranial bone segmentation using X-ray images for traumatic atlanto-occipital dislocation diagnosis's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Evaluation of U-Net models in automated cervical spine and cranial bone segmentation using X-ray images for traumatic atlanto-occipital dislocation diagnosis. Retrieved May 24, 2026, from https://4ort.xyz/entity/evaluation-of-u-net-models-in-automated-cervical-spine-and-cranial-bone-segmentation-using-x-ray-images-for-traumatic-at
MLA“Evaluation of U-Net models in automated cervical spine and cranial bone segmentation using X-ray images for traumatic atlanto-occipital dislocation diagnosis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/evaluation-of-u-net-models-in-automated-cervical-spine-and-cranial-bone-segmentation-using-x-ray-images-for-traumatic-at.
BibTeX@misc{4ortxyz_evaluation-of-u-net-models-in-automated-cervical-spine-and-cranial-bone-segmentation-using-x-ray-images-for-traumatic-at_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Evaluation of U-Net models in automated cervical spine and cranial bone segmentation using X-ray images for traumatic atlanto-occipital dislocation diagnosis}}, year = {2026}, url = {https://4ort.xyz/entity/evaluation-of-u-net-models-in-automated-cervical-spine-and-cranial-bone-segmentation-using-x-ray-images-for-traumatic-at}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Evaluation of U-Net models in automated cervical spine and cranial bone segmentation using X-ray images for traumatic atlanto-occipital dislocation diagnosis — https://4ort.xyz/entity/evaluation-of-u-net-models-in-automated-cervical-spine-and-cranial-bone-segmentation-using-x-ray-images-for-traumatic-at (retrieved 2026-05-24)
