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Enhanced fully convolutional network based on external attention for low-dose CT denoising

Published: 30 August 2024 Publication History

Abstract

In recent decades, researchers have concentrated their efforts on developing techniques to denoise low-dose, sparse-angle CT images. Currently, mainstream low-dose CT methods include traditional iterative reconstruction algorithms and deep learning algorithms. However, these methods still exhibit transition smoothing, noise, and artifact residue. Inspired by the idea of deep learning, we propose an improved fully convolutional neural network using external attention. The network incorporates a novel external attention module, and use perceptual loss as the loss function which is used to construct a fully convolutional model with dense connections. This model fuses extracted feature information to achieve image denoising. Following training, the proposed EA-FCN demonstrated superior performance on actual clinical CT images. Furthermore, our method achieved favorable subjective and objective evaluations in terms of noise and artifact suppression.

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  1. Enhanced fully convolutional network based on external attention for low-dose CT denoising

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    ICCCV '24: Proceedings of the 2024 6th International Conference on Control and Computer Vision
    June 2024
    116 pages
    ISBN:9798400718045
    DOI:10.1145/3674700
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Publication History

    Published: 30 August 2024

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    Author Tags

    1. Deep learning
    2. External attention
    3. Fully convolutional neural network
    4. Low dose CT

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    • Tianjin Education Commission

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