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SCIseg: Automatic Segmentation of T2-weighted Intramedullary Lesions in Spinal Cord Injury
medRxiv - Radiology and Imaging Pub Date : 2024-04-21 , DOI: 10.1101/2024.01.03.24300794 Naga Karthik Enamundram , Jan Valosek , Andrew C. Smith , Dario Pfyffer , Simon Schading-Sassenhausen , Lynn Farner , Kenneth A. Weber , Patrick Freund , Julien Cohen-Adad
medRxiv - Radiology and Imaging Pub Date : 2024-04-21 , DOI: 10.1101/2024.01.03.24300794 Naga Karthik Enamundram , Jan Valosek , Andrew C. Smith , Dario Pfyffer , Simon Schading-Sassenhausen , Lynn Farner , Kenneth A. Weber , Patrick Freund , Julien Cohen-Adad
Purpose To develop a deep learning tool for the automatic segmentation of T2-weighted intramedullary lesions in spinal cord injury (SCI).
中文翻译:
SCIseg:脊髓损伤中 T2 加权髓内病变的自动分割
目的开发一种深度学习工具,用于脊髓损伤(SCI)中 T2 加权髓内病变的自动分割。
更新日期:2024-04-24
中文翻译:
SCIseg:脊髓损伤中 T2 加权髓内病变的自动分割
目的开发一种深度学习工具,用于脊髓损伤(SCI)中 T2 加权髓内病变的自动分割。