De-noising Medical Images Using Machine Learning, Deep Learning Approaches: A survey.

OBJECTIVE Several de-noising methods for medical images have been applied such as Wavelet Transform, CNN, linear and Non-linear method. METHODS In this paper, a median filter algorithm will be modified and explain the image de-noising to wavelet transform and Non-local means (NLM), deep convolutional neural network (DnCNN) and Gaussian noise and Salt and pepper noise used in the medical skin image. RESULTS PSNR values of CNN methods is higher and better than to others filters (Adaptive Wiener filter, Median filter and Adaptive Median filter, Wiener filter). CONCLUSION De-noising methods performance with indices SSIM, PSNR and MSE are tested and survey the result of simulation image de-noising.