Abstract #4340
Automated classification of intramedullary spinal cord tumors and inflammatory demyelinating lesions using deep learning
Zhizheng Zhuo1, Jie Zhang1, Yunyun Duan1, Xianchang Zhang2, and Yaou Liu1
1Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China, 2MR Collaboration, Siemens Healthineers Ltd, Beijing, China
Synopsis
A DL framework for the segmentation and classification of spinal cord lesions, including tumors (astrocytoma and ependymoma) and demyelinating diseases (MS and NMOSD), were developed and validated, with performance sometimes outperforming radiologists.
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