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Machine learning-based segmentation of ischemic penumbra by using diffusion tensor metrics in a rat model
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) approaches...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7362663/ https://www.ncbi.nlm.nih.gov/pubmed/32664906 http://dx.doi.org/10.1186/s12929-020-00672-9 |