A deep-learning-based workflow for reconstructing and segmenting challenging sets of time-resolved X-ray micro-computed tomography data

We present a deep-learning-based software pipeline for reconstructing and segmenting large sets of time-resolved micro-computed tomography (µCT) image data. We construct and train a convolutional neural network (CNN) to consistently, rapidly, and autonomously segment the time-resolved tomography dat...

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Bibliographic Details

Published in:	SoftwareX
Main Authors:	Samuel Waldner, Jörg Huwyler, Maxim Puchkov
Format:	Article
Language:	English
Published:	Elsevier 2024-09-01
Subjects:	Time-resolved computed tomography Image segmentation CT reconstruction Convolutional neural networks Phase retrieval
Online Access:	http://www.sciencedirect.com/science/article/pii/S2352711024001675