Fast and denoise feature extraction based ADMF–CNN with GBML framework for MRI brain image-Reference-Cited by-同舟云学术

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Fast and denoise feature extraction based ADMF–CNN with GBML framework for MRI brain image

Published:2021-02-10 Issue:2 Volume:24 Page:529-544
ISSN:1381-2416
Container-title:International Journal of Speech Technology
language:en
Short-container-title:Int J Speech Technol

Author:

Sreelakshmi D.^ORCID,Inthiyaz Syed

Publisher

Springer Science and Business Media LLC

Subject

Computer Vision and Pattern Recognition,Linguistics and Language,Human-Computer Interaction,Language and Linguistics,Software

Link

https://link.springer.com/content/pdf/10.1007/s10772-020-09793-w.pdf

Reference24 articles.

1. Akar, S. A. (2016). Determination of optimal parameters for bilateral filter in brain MRimage denoising. Applied Soft Computing., 43, 87–96.

2. Bourne, R. (2010). Image filters. In R. Bourne (Ed.), Fundamentals of digital imaging in medicine. London: Springer.

3. Danaee, Soroosh, Darakeh, Fatemeh, & Mohammad-Khani, Gholam-Reza. (2018). Applying an ANFIS-based algorithm in comparison with mechanistic modelling in a biofilter treating hexane. Journal of Green Engineering, 8(3), 319–338.

4. Dey, N., Ashour, A. S., Beagum, S., Sifaki Pistola, D., Gospodinov, M., Gospodinova, E., et al. (2015). Parameter optimization for local polynomial approximation based intersection confidence interval filter using genetic algorithm: An application for brain MRI image denoising. Journal of Imaging., 1(1), 60–84.

5. Erturk, M. (2013). De-noising MRI using spectral subtraction. IEEE Transaction on Bio-Medical Engineering, 60(6), 1556–1562.

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