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Deep learning-based carotid plaque vulnerability classification with multicentre contrast-enhanced ultrasound video: a comparative diagnostic study
Research article (BMJ Open, 2021) · cited 28× · AI/ML
Deep learning-based carotid plaque vulnerability classification with multicentre contrast-enhanced ultrasound video: a comparative diagnostic study
Summary
Deep learning-based carotid plaque vulnerability classification with multicentre contrast-enhanced ultrasound video: a comparative diagnostic study is a scholarly article[1].
Key Facts
Deep learning-based carotid plaque vulnerability classification with multicentre contrast-enhanced ultrasound video: a comparative diagnostic study's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Deep learning-based carotid plaque vulnerability classification with multicentre contrast-enhanced ultrasound video: a comparative diagnostic study. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-based-carotid-plaque-vulnerability-classification-with-multicentre-contrast-enhanced-ultrasound-video-a-co
BibTeX@misc{4ortxyz_deep-learning-based-carotid-plaque-vulnerability-classification-with-multicentre-contrast-enhanced-ultrasound-video-a-co_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep learning-based carotid plaque vulnerability classification with multicentre contrast-enhanced ultrasound video: a comparative diagnostic study}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-based-carotid-plaque-vulnerability-classification-with-multicentre-contrast-enhanced-ultrasound-video-a-co}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep learning-based carotid plaque vulnerability classification with multicentre contrast-enhanced ultrasound video: a comparative diagnostic study — https://4ort.xyz/entity/deep-learning-based-carotid-plaque-vulnerability-classification-with-multicentre-contrast-enhanced-ultrasound-video-a-co (retrieved 2026-05-24)
