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papersSEP 10 04:00 UTC

Method reconstructs volumetric CT scans from single chest X-rays via multi-pass blended learning

Researchers propose a multi-pass, multi-view blended learning approach for generating full 3D chest CT volumes from a single 2D chest radiograph. The task is an ill-posed inverse problem, made harder by the limited availability of paired X-ray and CT training data. The paper builds on earlier methods that relied on digitally reconstructed radiographs to overcome data scarcity.

3d-reconstructionchest-radiographycomputed tomographydigitally-reconstructed-radiographsinverse problemsmedical imaging

COVERAGE · 1 REPORT · LINKS GO TO THE ORIGINAL OUTLETS

arXiv cs.LGMulti-Pass, Multi-View Blended Learning for High-Fidelity Volumetric CT Synthesis from Chest X-Rays ↗SEP 10 04:00 UTC

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