Identification of infarct core and ischemic penumbra using computed tomography perfusion and deep learning

Research article (Journal of Medical Imaging, 2023) · cited 10× · AI/ML
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Identification of infarct core and ischemic penumbra using computed tomography perfusion and deep learning

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Identification of infarct core and ischemic penumbra using computed tomography perfusion and deep learning is a scholarly article[1].

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  • Identification of infarct core and ischemic penumbra using computed tomography perfusion and deep learning's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Identification of infarct core and ischemic penumbra using computed tomography perfusion and deep learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/identification-of-infarct-core-and-ischemic-penumbra-using-computed-tomography-perfusion-and-deep-learning
MLA “Identification of infarct core and ischemic penumbra using computed tomography perfusion and deep learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/identification-of-infarct-core-and-ischemic-penumbra-using-computed-tomography-perfusion-and-deep-learning.
BibTeX @misc{4ortxyz_identification-of-infarct-core-and-ischemic-penumbra-using-computed-tomography-perfusion-and-deep-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Identification of infarct core and ischemic penumbra using computed tomography perfusion and deep learning}}, year = {2026}, url = {https://4ort.xyz/entity/identification-of-infarct-core-and-ischemic-penumbra-using-computed-tomography-perfusion-and-deep-learning}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Identification of infarct core and ischemic penumbra using computed tomography perfusion and deep learning — https://4ort.xyz/entity/identification-of-infarct-core-and-ischemic-penumbra-using-computed-tomography-perfusion-and-deep-learning (retrieved 2026-05-24)

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