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A deep-learning-based workflow for reconstructing and segmenting challenging sets of time-resolved X-ray micro-computed tomography data.
Samuel Waldner
Jörg Huwyler
Maxim Puchkov
Published in:
SoftwareX (2024)
Keyphrases
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x ray
cone beam
computed tomography
medical imaging
ct scans
ct images
deep learning
low dose
three dimensional
image reconstruction
image data
medical images
cone beam ct
high quality
computer aided diagnosis
intraoperative
image registration