Multicenter study on predicting postoperative upper limb muscle strength improvement in cervical spinal cord injury patients using radiomics and deep learning

Multicenter study on predicting postoperative upper limb muscle strength improvement in cervical spinal cord injury patients using radiomics and deep learning

Abstract Cervical spinal cord injury is often catastrophic, frequently leading to irreversible impairment. MRI has become the gold standard for evaluating spinal cord injuries (SCI). Our study aimed to assess the accuracy of a radiomics approach, based on machine learning and utilizing conventional...

Full description

Bibliographic Details
Main Authors: Fabin Lin, Kaifeng Wang, Minyun Lai, Yang Wu, Chunmei Chen, Yongjiang Wang, Rui Wang
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
Spinal cord injuries
MRI
Radiomics
Machine learning
Online Access:https://doi.org/10.1038/s41598-024-72539-0

Internet

https://doi.org/10.1038/s41598-024-72539-0

Similar Items