Multi-Pass, Multi-View Blended Learning for High-Fidelity Volumetric CT Synthesis from Chest X-Rays
A Multi-Pass Multi-View Blended Learning framework for synthesizing high-fidelity volumetric CT directly from real chest X-ray (CXR) images that mitigates the synthetic-to-real domain gap while enhancing both the structural integrity and anatomical detail of the final output.
Ozer Can Devecioglu, S. Kiranyaz, Rashid Mazhar et al.
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