A symmetric prior knowledge based deep learning model for intracerebral hemorrhage lesion segmentation
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DOI: 10.3389/fphys.2022.977427
Abstract: Background: Accurate localization and classification of intracerebral hemorrhage (ICH) lesions are of great significance for the treatment and prognosis of patients with ICH. The purpose of this study is to develop a symmetric prior knowledge… read more here.
Keywords: transnet; hemorrhage; ich lesions; segmentation ... See more keywords