AI RESEARCH
Neighbor2Inverse: Self-Supervised Denoising for Low-Dose Region-of-Interest Phase Contrast CT
arXiv CS.CV
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ArXi:2605.01075v1 Announce Type: new Propagation-based X-ray phase-contrast imaging (PBI) enables high-contrast visualization of lung structures and holds strong medical potential. However, safe translation to the clinic will require a substantial radiation dose reduction, which inevitably increases image noise. Supervised convolutional-neural-network-based denoising can re image quality but depends on paired low- and high-dose datasets, which are rarely available in practice.