Article
SIENNA: A Generalizable Parameter-Efficient Machine Learning Diagnostic for Clinical Magnetic Resonance Imaging
2024-10-10
Abstract excerpt
<title>Abstract</title> <p>Contemporary machine learning models for computer vision, although abundant, are largely inappropriate for clinical diagnostics. Clinical sophistication must address data consistency, avoid large parametric needs to reduce model complexity, and achieve stable generalizability across new patient data. Here, we achieve these goals in SIENNA a “Lightweight Energy-efficient Adaptive Next ge...
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Identifiers and source
- Literature Corpus work
- 2390651d-78b1-5699-8dc3-0ac32b48373e
- DOI
- 10.21203/rs.3.rs-4087784/v1
