Machine learning-based segmentation of ischemic penumbra by using diffusion tensor metrics in a rat model
Abstract Background Recent trials have shown promise in intra-arterial thrombectomy after the first 6-24 h of stroke onset. Quick and precise identification of the salvageable tissue is essential for successful stroke management. In this study, we examined the feasibility of machine learning (ML) ap...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BioMed Central,
2021-09-20T17:22:19Z.
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| Subjects: | |
| Online Access: | Get fulltext |