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A weakly supervised deep learning model integrating noncontrasted computed tomography images and clinical factors facilitates haemorrhagic transformation prediction after intravenous thrombolysis in acute ischaemic stroke patients

Research article (BioMedical Engineering OnLine, 2023) · cited 11× · AI/ML
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A weakly supervised deep learning model integrating noncontrasted computed tomography images and clinical factors facilitates haemorrhagic transformation prediction after intravenous thrombolysis in acute ischaemic stroke patients

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A weakly supervised deep learning model integrating noncontrasted computed tomography images and clinical factors facilitates haemorrhagic transformation prediction after intravenous thrombolysis in acute ischaemic stroke patients is a scholarly article[1].

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  • A weakly supervised deep learning model integrating noncontrasted computed tomography images and clinical factors facilitates haemorrhagic transformation prediction after intravenous thrombolysis in acute ischaemic stroke patients's instance of is recorded as scholarly article[2].

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  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). A weakly supervised deep learning model integrating noncontrasted computed tomography images and clinical factors facilitates haemorrhagic transformation prediction after intravenous thrombolysis in acute ischaemic stroke patients. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-weakly-supervised-deep-learning-model-integrating-noncontrasted-computed-tomography-images-and-clinical-factors-facili
MLA “A weakly supervised deep learning model integrating noncontrasted computed tomography images and clinical factors facilitates haemorrhagic transformation prediction after intravenous thrombolysis in acute ischaemic stroke patients.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-weakly-supervised-deep-learning-model-integrating-noncontrasted-computed-tomography-images-and-clinical-factors-facili.
BibTeX @misc{4ortxyz_a-weakly-supervised-deep-learning-model-integrating-noncontrasted-computed-tomography-images-and-clinical-factors-facili_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A weakly supervised deep learning model integrating noncontrasted computed tomography images and clinical factors facilitates haemorrhagic transformation prediction after intravenous thrombolysis in acute ischaemic stroke patients}}, year = {2026}, url = {https://4ort.xyz/entity/a-weakly-supervised-deep-learning-model-integrating-noncontrasted-computed-tomography-images-and-clinical-factors-facili}, note = {Accessed: 2026-05-24}}
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