ISSN : 2663-2187

Medical Image Denoising in Compound Noise Based on Convolution Neural Networks

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Vishal Rajendrabhai Patel, Dr. Ronak Kumar Patel
ยป doi: 10.33472/AFJBS.6.6.2024.8159-8167

Abstract

A medical imaging technique used for illness diagnosis and screening is low dose X-ray imaging. Unfortunately, mechanical noise makes it difficult to analyze such images. Despite significant advancements, some deep learning-based denoising methods still perform poorly on actual X-ray pictures. Due to the complexity of the X-ray image's actual noise. In order to replicate the true X-ray image, we create a noise model in this study based on the basic principles of X-ray imaging. Our proposal for improving low-dose X-ray images is to use a Blind Denoising Convolutional-Neural-Network (BDCNN). The experimental findings demonstrate that BDCNN outperforms the other denoising techniques in terms of denoising performance.

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