Improving Medical Image Denoising via a Lightweight Plug-and-play Module-Reference-Cited by-同舟云学术

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Improving Medical Image Denoising via a Lightweight Plug-and-play Module

Published:2023-12-05 Issue: Volume:29 Page:1350-1355
ISSN:
Container-title:2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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Author:

Ma Lei¹,Kuang Hulin¹,Liu Jin¹,Shen Chengchao¹,Wang Jianxin¹

Affiliation:

1. Central South University,Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering,Changsha,China

Funder

Research and Development

National Natural Science Foundation of China

Central South University

Natural Science Foundation of Hunan Province

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10385250/10385251/10385969.pdf?arnumber=10385969

Reference21 articles.

1. A review on medical image denoising algorithms

2. Non-local sparse models for image restoration

3. A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising

4. Iterative Regularization and Nonlinear Inverse Scale Space Applied to Wavelet-Based Denoising

5. An Iterative Regularization Method for Total Variation-Based Image Restoration

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