Dilated Residual Convolutional Neural Networks for Low-Dose CT Image Denoising

X-ray computed tomography (CT) imaging, which uses X-ray to acquire image data, is widely used in medicine. High X-ray doses may be harmful to the patient's health. Therefore, X-ray doses are often reduced at the expense of reduced quality of CT images. This paper presents a convolutional neura...

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Bibliographic Details

Published in:	2020 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS) pp. 189 - 192
Main Authors:	Thanh Trung, Nguyen, Trinh, Dinh-Hoan, Linh Trung, Nguyen, Thi Thuy Quynh, Tran, Luu, Manh-Ha
Format:	Conference Proceeding
Language:	English
Published:	IEEE 08-12-2020
Subjects:	Computed tomography Computer tomography convolutional neural network dilated residual network Image denoising Image reconstruction low dose imaging medical image denoising Noise reduction perceptual loss Residual neural networks Training X-ray imaging
Online Access:	Get full text
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