Medical image denoising using convolutional neural network: a residual learning approach

Author:

Jifara Worku,Jiang Feng,Rho Seungmin,Cheng Maowei,Liu Shaohui

Funder

China government

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Reference39 articles.

1. Gao Q, Olgac N (2016) Determination of the bounds of imaginary spectra of LTI systems with multiple time delays. Automatica 72:235–241

2. Mondal T, Maitra M (2015) Denoising and compression of medical image in wavelet 2D. Int J Recent Innov Trends Comput Commun 6:173–178

3. Mustafa N, Li JP, Khan SA, Giess M (2015) Medical image de-noising schemes using wavelet transform with fixed form thresholding. Int J Adv Comput Sci Appl 6:173–178

4. Bahendwar YS, Sinh GR (2012) Efficient algorithm for denoising of medical images using discrete wavelet transforms. Math Methods Syst Sci Eng 142:158–162

5. Zhang X (2015) Image denoising using shearlet transform and nonlinear diffusion. Proc Sci 20:033016

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