Pediatric evaluations for deep learning CT denoising
Brandon J. Nelson,
Prabhat Kc,
Andreu Badal
et al.
Abstract:BackgroundDeep learning (DL) CT denoising models have the potential to improve image quality for lower radiation dose exams. These models are generally trained with large quantities of adult patient image data. However, CT, and increasingly DL denoising methods, are used in both adult and pediatric populations. Pediatric body habitus and size can differ significantly from adults and vary dramatically from newborns to adolescents. Ensuring that pediatric subgroups of different body sizes are not disadvantaged b… Show more
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