Gradient-based Optimization Algorithm for Hybrid Loss Function in Low-dose CT Denoising

Deep learning techniques have emerged in de-noising low-dose computed tomography (CT) images to avoid the potential health risks of high ionizing radiation dose on patients. Although these post-processing methods display high quality denoised images, the denoising performance still has the potential...

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Vydané v:	2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) Ročník 2022; s. 3834 - 3838
Hlavní autori:	Mazandarani, Farzan Niknejad, Marcos, Luella, Babyn, Paul, Alirezaie, Javad
Médium:	Konferenčný príspevok.. Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 01.01.2022
Predmet:	Biological system modeling Computed tomography CT image denoising Deep learning Ionizing radiation Loss functions Medical imaging Noise reduction opti-mization algorithm Prediction algorithms RED-CNN Signal Processing Three-dimensional displays
ISSN:	2694-0604, 2694-0604
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