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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Veröffentlicht in:	2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) Jg. 2022; S. 3834 - 3838
Hauptverfasser:	Mazandarani, Farzan Niknejad, Marcos, Luella, Babyn, Paul, Alirezaie, Javad
Format:	Tagungsbericht Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.01.2022
Schlagworte:	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
Online-Zugang:	Volltext
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