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...

Descripción completa

Detalles Bibliográficos
Autores principales: Kuo, Duen-Pang, Kuo, Po-Chih, Chen, Yung-Chieh, Kao, Yu-Chieh Jill, Lee, Ching-Yen, Chung, Hsiao-Wen, Chen, Cheng-Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
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

Internet

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

Ejemplares similares