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