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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...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | J Biomed Sci |
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| Κύριοι συγγραφείς: | , , , , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
BioMed Central
2020
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7362663/ https://ncbi.nlm.nih.gov/pubmed/32664906 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12929-020-00672-9 |
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