Denoising Medical Images Using Machine Learning, Deep Learning Approaches: A Survey

Author(s): Ali Arshaghi, Mohsen Ashourian*, Leila Ghabeli

Journal Name: Current Medical Imaging
Formerly: Current Medical Imaging Reviews

Volume 17 , Issue 5 , 2021


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Abstract:

Objective: Several denoising methods for medical images have been applied, such as Wavelet Transform, CNN, linear and Non-linear methods.

Methods: In this paper, A median filter algorithm will be modified and the image denoising method to wavelet transform and Non-local means (NLM), deep convolutional neural network (Dn- CNN), Gaussian noise, and Salt and pepper noise used in the medical image is explained.

Results: PSNR values of the CNN method are higher and showed better results than different filters (Adaptive Wiener filter, Median filter, and Adaptive Median filter, Wiener filter).

Conclusion: Denoising methods performance with indices SSIM, PSNR, and MSE have been tested, and the results of simulation image denoising are also presented in this article.

Keywords: Medical denoising, NLM, PSNR, image processing, CNN, adaptive wiener filter.

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Article Details

VOLUME: 17
ISSUE: 5
Year: 2021
Published on: 08 June, 2021
Page: [578 - 594]
Pages: 17
DOI: 10.2174/1573405616666201118122908
Price: $65

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