Multipath cycleGAN for harmonization of paired and unpaired low‐dose lung computed tomography reconstruction kernels

Background Reconstruction kernels in computed tomography (CT) introduce variability in spatial resolution and noise distribution, creating systematic differences in quantitative imaging measurements, that icl, emphysema characterization in lung imaging. While harmonization across images reconstructe...

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Vydané v:	Medical physics (Lancaster) Ročník 52; číslo 11; s. e70120 - n/a
Hlavní autori:	Krishnan, Aravind R., Li, Thomas Z., Remedios, Lucas W., Kim, Michael E., Gao, Chenyu, Rudravaram, Gaurav, McMaster, Elyssa M., Saunders, Adam M., Bao, Shunxing, Xu, Kaiwen, Zuo, Lianrui, Sandler, Kim L., Maldonado, Fabien, Huo, Yuankai, Landman, Bennett A.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States 01.11.2025
Predmet:	Humans Image Processing, Computer-Assisted - methods Lung - diagnostic imaging Lung Neoplasms - diagnostic imaging multipath cycleGAN percent emphysema Radiation Dosage reconstruction kernel shared latent space Tomography, X-Ray Computed - methods shared latent space percent emphysema multipath cycleGAN reconstruction kernel
ISSN:	0094-2405, 2473-4209, 2473-4209
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