Hybrid deep autoencoder network based adaptive cross guided bilateral filter for motion artifacts correction and denoising from MRI

Removal of motion artifacts from medical images is essential, because the respiration by patient causes degradation in artifact removal. Therefore, getting an MRI without any artifacts and noise is challenging. Previous techniques failed to preserve the image quality during denoising, thereby affect...

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Vydané v:	The imaging science journal Ročník ahead-of-print; číslo ahead-of-print; s. 1 - 16
Hlavní autori:	Samuel, Shiju, Ochawar, Rohini S., Rukmini, M.S.S.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Taylor & Francis 02.01.2024
Predmet:	autoencoder bald eagle search optimization cross-guided bilateral filtering Deep learning kernel selection Motion artifact removal Peak Signal to Noise Ratio (PSNR) Salp swarm optimization
ISSN:	1368-2199, 1743-131X
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