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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