Automated Detection of Cervical Spinal Stenosis and Cord Compression via Vision Transformer and Rules-Based Classification [SPINE IMAGING AND SPINE IMAGE-GUIDED INTERVENTIONS]

CONCLUSIONS: This classification approach using a ViT model and rules-based classification accurately detects the presence of cervical spinal cord compression at the patient level. In this study, the ViT model outperformed both conventional CNN approaches at the section and patient levels. If implemented into the clinical setting, such a tool may streamline neuroradiology workflow, improving efficiency and consistency.

http://www.ajnr.org/cgi/content/abstract/45/4/432?rss=1

Source: American Journal of Neuroradiology - April 8, 2024 Category: Radiology Authors: Payne, D. L., Xu, X., Faraji, F., John, K., Pradas, K. F., Bernard, V. V., Bangiyev, L., Prasanna, P. Tags: SPINE IMAGING AND SPINE IMAGE-GUIDED INTERVENTIONS Source Type: research