3D convolutional neural networks applied to CT angiography in the detection of acute ischemic stroke
Summary
3D convolutional neural networks applied to CT angiography in the detection of acute ischemic stroke is a scholarly article[1].
Key Facts
3D convolutional neural networks applied to CT angiography in the detection of acute ischemic stroke's instance of is recorded as scholarly article[2].
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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.
APA4ort.xyz Knowledge Graph. (2026). 3D convolutional neural networks applied to CT angiography in the detection of acute ischemic stroke. Retrieved May 24, 2026, from https://4ort.xyz/entity/3d-convolutional-neural-networks-applied-to-ct-angiography-in-the-detection-of-acute-ischemic-stroke
MLA“3D convolutional neural networks applied to CT angiography in the detection of acute ischemic stroke.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/3d-convolutional-neural-networks-applied-to-ct-angiography-in-the-detection-of-acute-ischemic-stroke.
BibTeX@misc{4ortxyz_3d-convolutional-neural-networks-applied-to-ct-angiography-in-the-detection-of-acute-ischemic-stroke_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{3D convolutional neural networks applied to CT angiography in the detection of acute ischemic stroke}}, year = {2026}, url = {https://4ort.xyz/entity/3d-convolutional-neural-networks-applied-to-ct-angiography-in-the-detection-of-acute-ischemic-stroke}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): 3D convolutional neural networks applied to CT angiography in the detection of acute ischemic stroke — https://4ort.xyz/entity/3d-convolutional-neural-networks-applied-to-ct-angiography-in-the-detection-of-acute-ischemic-stroke (retrieved 2026-05-24)
