Physical characteristics of deep learning-based image processing software in computed tomography: a phantom study.

Seiya SatoAtsushi UrikuraMakoto MimatsuYuta MiyamaeYuji JibikiMami YamashitaToshihiro Ishihara

Published in: Physical and engineering sciences in medicine (2023)

contributed to the noise texture degradation suppression. The NPS suppression in the low spatial frequency range effectively improved the low-contrast detectability.

Keyphrases

deep learning
computed tomography
contrast enhanced
magnetic resonance
physical activity
magnetic resonance imaging
image quality
artificial intelligence
mental health
positron emission tomography
dual energy
convolutional neural network
air pollution
machine learning
data analysis
pet ct