Automatic collateral quantification in acute ischemic stroke using U2-net
ObjectivesTo harness the U2-Net deep learning framework for automated quantification of collateral circulation in acute ischemic stroke (AIS) via computed tomography angiography (CTA) images, comparing its performance against traditional visual collateral scores (vCS).MethodsA cohort of 118 confirme...
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| 主要な著者: | , , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Frontiers Media S.A.
2025-05-01
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| シリーズ: | Frontiers in Neurology |
| 主題: | |
| オンライン・アクセス: | https://www.frontiersin.org/articles/10.3389/fneur.2025.1502382/full |
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