Enabling Low-Dose In Vivo Benchtop X-ray Fluorescence Computed Tomography through Deep-Learning-Based Denoising

X-ray Fluorescence Computed Tomography (XFCT) is an emerging non-invasive imaging technique providing high-resolution molecular-level data. However, increased sensitivity with current benchtop X-ray sources comes at the cost of high radiation exposure. Artificial Intelligence (AI), particularly deep...

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Hlavní autoři:	Naghmeh Mahmoodian, Mohammad Rezapourian, Asim Abdulsamad Inamdar, Kunal Kumar, Melanie Fachet, Christoph Hoeschen
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2024-05-01
Edice:	Journal of Imaging
Témata:	deep learning (DL) artificial intelligence (AI) X-ray fluorescence (XRF) XFCT nanoparticles cancer
On-line přístup:	https://www.mdpi.com/2313-433X/10/6/127
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