A Bio-inspired Parallel-Framework Based Multi-gene Genetic Programming Approach to Denoise Biomedical Images-Reference-Cited by-同舟云学术

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A Bio-inspired Parallel-Framework Based Multi-gene Genetic Programming Approach to Denoise Biomedical Images

Published:2016-05-21 Issue:4 Volume:8 Page:776-793
ISSN:1866-9956
Container-title:Cognitive Computation
language:en
Short-container-title:Cogn Comput

Author:

Javed Syed Gibran,Majid Abdul,Ali Safdar,Kausar Nabeela

Funder

Higher Education Commission, Pakistan

Publisher

Springer Science and Business Media LLC

Subject

Cognitive Neuroscience,Computer Science Applications,Computer Vision and Pattern Recognition

Link

http://link.springer.com/content/pdf/10.1007/s12559-016-9416-6.pdf

Reference25 articles.

1. Gepperth A, Karaoguz C. A bio-inspired incremental learning architecture for applied perceptual problems. Cogn Comput. 2016;. doi: 10.1007/s12559-016-9389-5 .

2. Jia ZJ, Song YD, Cai WC. Bio-inspired approach for smooth motion control of wheeled mobile robots. Cogn Comput. 2012;5(2):252–63. doi: 10.1007/s12559-012-9186-8 .

3. Meftah B, Lézoray O, Benyettou A. Novel approach using echo state networks for microscopic cellular image segmentation. Cogn Comput. 2015. doi: 10.1007/s12559-015-9354-8 .

4. Roelfs AP, Singh RP, Saari EE, Maize I, Center WI. Rust diseases of wheat: concepts and methods of disease management. Mexico: CIMMYT; 1992.

5. Huang T, Yang G, Tang G. A fast two-dimensional median filtering algorithm. IEEE Trans Acoust Speech Signal Process. 1979;27(1):13–8. doi: 10.1109/TASSP.1979.1163188 .

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