A deep dictionary network-based foundation model for ultra-low-dose CT denoising
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 scen...
Bao-Shun Shi, Shuang-Yi Yang, Ke Jiang et al.
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