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Leveraging modified ex situ tomography data for segmentation of in situ synchrotron X‐ray computed tomography

open access: yesJournal of Microscopy, EarlyView.
Abstract In situ synchrotron X‐ray computed tomography enables dynamic material studies. However, automated segmentation remains challenging due to complex imaging artefacts – like ring and cupping effects – and limited training data. We present a methodology for deep learning‐based segmentation by transforming high‐quality ex situ laboratory data to ...
Tristan Manchester   +6 more
wiley   +1 more source

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