Residual-based convolutional-neural-network (CNN) for low-dose CT denoising: impact of multi-slice input

Z Zhou, NR Huber, A Inoue… - Medical Imaging 2022 …, 2022 - spiedigitallibrary.org
Deep convolutional neural network (CNN) based methods have become popular choices for
reducing image noise in CT. Some of these methods showed promising results, especially in …
被引用次数：5 相关文章

Residual-based convolutional-neural-network (CNN) for low-dose CT denoising: impact of multi-slice input

Z Zhou, NR Huber, A Inoue… - … 2022: Physics of …, 2022 - ui.adsabs.harvard.edu
Deep convolutional neural network (CNN) based methods have become popular choices for
reducing image noise in CT. Some of these methods showed promising results, especially in …

Residual-based convolutional-neural-network (CNN) for low-dose CT denoising: impact of multi-slice input

Z Zhou, NR Huber, A Inoue… - … 2022: Physics of …, 2022 - mayoclinic.elsevierpure.com
Deep convolutional neural network (CNN) based methods have become popular choices for
reducing image noise in CT. Some of these methods showed promising results, especially in …

Residual-based Convolutional-Neural-Network (CNN) for Low-dose CT Denoising: Impact of Multi-slice Input

Z Zhou, NR Huber, A Inoue, CH McCollough, L Yu - Proc. of SPIE Vol - spiedigitallibrary.org
Deep convolutional neural network (CNN) based methods have become popular choices for
reducing image noise in CT. Some of these methods showed promising results, especially in …