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Current Medical Imaging

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

DOI: 10.2174/1573405616666201118122908

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

Page: [578 - 594] Pages: 17

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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.

Graphical Abstract

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