Stroke risk study based on deep learning-based magnetic resonance imaging carotid plaque automatic segmentation algorithm
Summary
Stroke risk study based on deep learning-based magnetic resonance imaging carotid plaque automatic segmentation algorithm is a scholarly article[1].
Key Facts
Stroke risk study based on deep learning-based magnetic resonance imaging carotid plaque automatic segmentation algorithm's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Stroke risk study based on deep learning-based magnetic resonance imaging carotid plaque automatic segmentation algorithm. Retrieved May 24, 2026, from https://4ort.xyz/entity/stroke-risk-study-based-on-deep-learning-based-magnetic-resonance-imaging-carotid-plaque-automatic-segmentation-algorith
MLA“Stroke risk study based on deep learning-based magnetic resonance imaging carotid plaque automatic segmentation algorithm.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/stroke-risk-study-based-on-deep-learning-based-magnetic-resonance-imaging-carotid-plaque-automatic-segmentation-algorith.
BibTeX@misc{4ortxyz_stroke-risk-study-based-on-deep-learning-based-magnetic-resonance-imaging-carotid-plaque-automatic-segmentation-algorith_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Stroke risk study based on deep learning-based magnetic resonance imaging carotid plaque automatic segmentation algorithm}}, year = {2026}, url = {https://4ort.xyz/entity/stroke-risk-study-based-on-deep-learning-based-magnetic-resonance-imaging-carotid-plaque-automatic-segmentation-algorith}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Stroke risk study based on deep learning-based magnetic resonance imaging carotid plaque automatic segmentation algorithm — https://4ort.xyz/entity/stroke-risk-study-based-on-deep-learning-based-magnetic-resonance-imaging-carotid-plaque-automatic-segmentation-algorith (retrieved 2026-05-24)