Multiple sclerosis (MS) and neuromyelitis optical spectrum disorders (NMOSD) are common demyelination diseases in central neural system. With increasingly used MR examinations in clinical practice, the detection and delineation of white matter lesions is helpful to the calculation of total lesion volume, which is of great significance to clinical treatment planning. However, manual delineation is time-consuming to the clinicians and may lead to poor repeatability. In this work, we employed deep learning method to establish a tool for WM lesion delineation of MS and NMOSD routine MRI data from multiple centers.
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