Multi-scale perceptual modulation network for low-dose computed tomography denoising

The proposed MSPMnet excelled at LDCT denoising, effectively removing noise and artifacts while preserving edges. Compared to the state-of-the-art CNNs and Transformers, the proposed MSPMnet exhibited superior denoising performance both quantitatively and qualitatively.

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Publication Details

Journal
Quantitative Imaging in Medicine and Surgery
Published
2024-12-01
DOI
https://doi.org/10.21037/qims-24-1145
Primary Topic
Image and Signal Denoising Methods
Type
article
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article

Multi-scale perceptual modulation network for low-dose computed tomography denoising

Anni Zhong, Jiexing Huang, Yujian Liu
Quantitative Imaging in Medicine and Surgery
Image and Signal Denoising Methods
article

Multi-scale perceptual modulation network for low-dose computed tomography denoising

Anni Zhong, Jiexing Huang, Yujian Liu
article en

Abstract

The proposed MSPMnet excelled at LDCT denoising, effectively removing noise and artifacts while preserving edges. Compared to the state-of-the-art CNNs and Transformers, the proposed MSPMnet exhibited superior denoising performance both quantitatively and qualitatively.

Quantitative Imaging in Medicine and SurgeryVol. 14(12)
Sun Yat-sen University (CN), Sixth Affiliated Hospital of Sun Yat-sen University (CN), The First Affiliated Hospital, Sun Yat-sen University (CN)
Openalex Percentile: Top 78%
Image and Signal Denoising Methods
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