Article

SCIseg: Automatic Segmentation of T2-weighted Intramedullary Lesions in Spinal Cord Injury

2024-01-03

Abstract excerpt

<h4>Purpose</h4> To develop a deep learning tool for the automatic segmentation of T2-weighted intramedullary lesions in spinal cord injury (SCI). <h4>Material and Methods</h4> This 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 segme...

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Literature Corpus work: 9eaff3b3-cca4-59a1-acb3-679aebcb272b
DOI: 10.1101/2024.01.03.24300794

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