HIGHLIGHTS
- who: Balau0301zs Kis from the Stanford University, United States have published the paper: Automated quantification of atrophy and acute ischemic volume for outcome prediction in endovascular thrombectomy, in the Journal: (JOURNAL) of 31/Dec/2019
SUMMARY
Currently, identifying suitable candidates relies on clinical features (presenting severity on the National Institutes of Health Stroke Scale, NIHSS; baseline mRS), time from stroke onset and imaging findings, including infarct volume, Alberta Stroke Programme Early CT Score (ASPECTS) and volume of ischemic tissue relative to infarct. The authors sought to use machine_learning based automated image analysis of . . .
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