March 5, 2024, 2:42 p.m. | Benjamin Paulson, Joshua Goldshteyn, Sydney Balboni, John Cisler, Andrew Crisler, Natalia Bukowski, Julia Kalish, Theodore Colwell

cs.LG updates on arXiv.org arxiv.org

arXiv:2403.00771v1 Announce Type: cross
Abstract: Computed tomography (CT) is a beneficial imaging tool for diagnostic purposes. CT scans provide detailed information concerning the internal anatomic structures of a patient, but present higher radiation dose and costs compared to X-ray imaging. In this paper, we build on previous research to convert orthogonal X-ray images into simulated CT volumes by exploring larger datasets and various model structures. Significant model variations include UNet architectures, custom connections, activation functions, loss functions, optimizers, and a …

abstract arxiv build costs cs.cv cs.lg diagnostic eess.iv images imaging information paper patient physics.med-ph ray research scans tool type x-ray

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