SOURCE-LINKED INTELLIGENCE

A deep dictionary network-based foundation model for ultra-low-dose CT denoising

arXiv · AI, language, vision and robotics · article · Sep 11, 2026 · UTC

Ultra-low-dose computed tomography (ULDCT) reduces radiation exposure but suffers from severe noise that degrades diagnostic image quality. Existing deep learning-based denoising methods are typically trained in an organ-specific fashion, resulting in limited generalization across heterogeneous multi?organ imaging scenarios. Foundation models present a promising all-in-one paradigm for unified multi-organ denoising. However, their architectures suffer from poor interpretability and rely on heuristic training strategies. To address these limitations, we propose an architecture?interpretable fou

Read original source ↗ Open in workspace

recordType

paper

region

Global