Few-Shot Fingerprinting Subject Re-Identification in 3D-MRI and 2D-X-Ray
Published:Dec 18, 2025 15:50
•1 min read
•ArXiv
Analysis
This research focuses on re-identifying subjects using medical imaging modalities (3D-MRI and 2D-X-Ray) with limited data (few-shot learning). This is a challenging problem due to the variability in imaging data and the need for robust feature extraction. The use of fingerprinting suggests a focus on unique anatomical features for identification. The application of this research could be in various medical scenarios where patient identification is crucial, such as tracking patients over time or matching images from different sources.
Key Takeaways
Reference
“The abstract or introduction of the paper would likely contain the core problem statement, the proposed methodology (e.g., the fingerprinting technique), and the expected results or contributions. It would also likely highlight the novelty of using few-shot learning in this context.”