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SCIseg: Automatic Segmentation of T2-weighted Hyperintense Lesions in Spinal Cord Injury
2024-01-03
radiology and imaging
Title + abstract only
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PurposeTo develop a deep learning tool for the automatic segmentation of T2-weighted intramedullary lesions in spinal cord injury (SCI). Material and MethodsThis retrospective study included a cohort of SCI patients from three sites enrolled between July 2002 and February 2023. A deep learning model, SCIseg, was trained in a three-phase process involving active learning for the automatic segmentation of intramedullary SCI lesions and the spinal cord. The data consisted of T2-weighted MRI acquir...
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