Harmonisation of scanner-dependent contrast variations in magnetic resonance imaging for radiation oncology, using style-blind auto-encoders

Background and purpose: Magnetic Resonance Imaging (MRI) exhibits scanner dependent contrast, which limits generalisability of radiomics and machine-learning for radiation oncology. Current deep-learning harmonisation requires paired data, retraining for new scanners and often suffers from geometry-...

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Váldodahkkit:	Kavi Fatania, Anna Clark, Russell Frood, Andrew Scarsbrook, Bashar Al-Qaisieh, Stuart Currie, Michael Nix
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	Elsevier 2022-04-01
Ráidu:	Physics and Imaging in Radiation Oncology
Fáttát:	Magnetic Resonance Imaging (MRI) harmonisation Image translation Oncology Deep-learning Radiomics
Liŋkkat:	http://www.sciencedirect.com/science/article/pii/S2405631622000458
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