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Denoising Medical Images Using Machine Learning, Deep Learning Approaches: A Survey
Ali Arshaghi1, Mohsen Ashourian2, Leila Ghabeli1
1Department of Electrical Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran.
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.
