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Source: Translational Stroke Research
Education: Learning
Procedure: PET Scan
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Imaging-Based Outcome Prediction of Acute Intracerebral Hemorrhage
AbstractWe hypothesized that imaging-only-based machine learning algorithms can analyze non-enhanced CT scans of patients with acute intracerebral hemorrhage (ICH). This retrospective multicenter cohort study analyzed 520 non-enhanced CT scans and clinical data of patients with acute spontaneous ICH. Clinical outcome at hospital discharge was dichotomized into good outcome and poor outcome using different modified Rankin Scale (mRS) cut-off values. Predictive performance of a random forest machine learning approach based on filter- and texture-derived high-end image features was evaluated for differentiation of functional ...
Source: Translational Stroke Research - February 6, 2021 Category: Neurology Source Type: research
