Denoising techniques in adaptive multi‐resolution domains with applications to biomedical images-Reference-Cited by-同舟云学术

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Denoising techniques in adaptive multi‐resolution domains with applications to biomedical images

Published:2016-12-14 Issue:1 Volume:4 Page:25-29
ISSN:2053-3713
Container-title:Healthcare Technology Letters
language:en
Short-container-title:Healthcare Technology Letters

Author:

Lahmiri Salim¹

Affiliation:

1. École de Technologie Supérieure Montreal Canada

Publisher

Institution of Engineering and Technology (IET)

Subject

Health Information Management,Health Informatics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/htl.2016.0021

Reference27 articles.

1. Image denoising in bidimensional empirical mode decomposition domain: the role of Student's probability distribution function

2. Lahmiri S. Boukadoum M.: ‘Physiological signal denoising with variational mode decomposition and weighted reconstruction after DWT thresholding’.Proc. IEEE ISCAS 2015 pp.806–809

3. Lahmiri S. Boukadoum M.: ‘Combined partial differential equation filtering and particle swarm optimization for noisy biomedical image segmentation’.Proc. IEEE LASCAS 2016 pp.363–366

4. New approach for automatic classification of Alzheimer's disease, mild cognitive impairment and healthy brain magnetic resonance images

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