Abstract
Preprocessing plays a vital role in image for reducing noise and other unwanted data. There is a need for preprocessing in many fields, including medical imaging. Many of the medical images are contaminated with noise. In this paper, works related to denoising for brain magnetic resonance imaging (MRI) and cardiac echo have been studied and implemented. Numerous types of traditional filters were compared for this purpose using mean square error (MSE), peak signal-to-noise ratio (PSNR), and structural similarity index (SSIM).
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Acknowledgements
A special thanks go to Dr. Pranjal Phukan of North Eastern Indira Gandhi Regional Institute of Health and Medical Sciences, Shillong, [43] for providing us with brain MRI data and Dr. Daljit Singh Sethi, Director of Hope clinic for providing and analyzing the echo data.
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Wahlang, I., Saha, G., Maji, A.K. (2021). A Comparative Analysis on Denoising Techniques in Brain MRI and Cardiac Echo. In: Maji, A.K., Saha, G., Das, S., Basu, S., Tavares, J.M.R.S. (eds) Proceedings of the International Conference on Computing and Communication Systems. Lecture Notes in Networks and Systems, vol 170. Springer, Singapore. https://doi.org/10.1007/978-981-33-4084-8_36
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DOI: https://doi.org/10.1007/978-981-33-4084-8_36
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