Machine learning segmentation of core and penumbra from acute stroke CT perfusion data
IntroductionComputed tomography perfusion (CTP) imaging is widely used in cases of suspected acute ischemic stroke to positively identify ischemia and assess suitability for treatment through identification of reversible and irreversible tissue injury. Traditionally, this has been done via setting s...
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| Hoofdauteurs: | , , , , , , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Frontiers Media S.A.
2023-02-01
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| Reeks: | Frontiers in Neurology |
| Onderwerpen: | |
| Online toegang: | https://www.frontiersin.org/articles/10.3389/fneur.2023.1098562/full |
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