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Noncontrast Computed Tomography (NCCT) of the brain has been the first-line diagnosis for emergency evaluation of acute stroke, so a rapid and automated detection, localization, and/or segmentation of ischemic lesions is of great importance. We provide the state-of-the-art review of methods for automated detection, localization, and/or segmentation of ischemic lesions on NCCT in human brain scans along with their comparison, evaluation, and classification. Twenty-two methods are (1) revieweddoi:10.7717/peerj.10444 pmid:33391867 pmcid:PMC7759129 fatcat:tm3bw52gtjgh5fvw3i4o3i3zma