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...

Full description

Saved in:
Bibliographic Details
Published in:J Biomed Sci
Main Authors: Kuo, Duen-Pang, Kuo, Po-Chih, Chen, Yung-Chieh, Kao, Yu-Chieh Jill, Lee, Ching-Yen, Chung, Hsiao-Wen, Chen, Cheng-Yu
Format: Artigo
Language:Inglês
Published: BioMed Central 2020
Subjects:
Research
Online Access: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
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items