
The ensemble deep learning algorithm developed through the ISLES'22 challenge can accurately detect and segment ischemic stroke lesions across diverse clinical and imaging scenarios, outperforming individual state-of-the-art algorithms and achieving performance comparable to expert neuroradiologists.


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robust-deep-learning-ensemble-for-accurate-ischemic-stroke-lesion-segmentation-across-diverse-clinical-and-imaging-scenarios


Robust Deep Learning Ensemble for Accurate Ischemic Stroke Lesion Segmentation Across Diverse Clinical and Imaging Scenarios
