Speckle noise removal based on structural convolutional neural networks with feature fusion for medical image-Reference-Cited by-全球学者库

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Speckle noise removal based on structural convolutional neural networks with feature fusion for medical image

Published:2021-11 Issue: Volume:99 Page:116500
ISSN:0923-5965
Container-title:Signal Processing: Image Communication
language:en
Short-container-title:Signal Processing: Image Communication

Author:

Li Dazi^ORCID,Yu Wenjie,Wang Kunfeng,Jiang Daozhong,Jin Qibing^ORCID

Funder

National Natural Science Foundation of China

Beijing University of Chemical Technology

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference37 articles.

1. K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation;Aharon;IEEE Trans. Signal Process.,2006

2. Automatic noise estimation in images using local statistics;Aja-Fernandez;Addit. Multip. Cases Image Vis. Comput.,2009

3. Digital image enhancement and noise filtering by use of local statistics;Lee;IEEE Trans. Pattern Anal. Mach. Intell.,2009

4. Automated detection of retinal layer structures on optical coherence tomography images;Fernandez;Opt. Express,2005

5. Sparsity based denoising of spectral domain optical coherence tomography images;Fang;Biomed. Opt. Express,2012

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