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Found 2 papers, 2 papers with code
Maximum Likelihood based Phase-Retrieval using Fresnel Propagation Forward Models with Optional Constraints
The dominant approaches to 3D reconstruction using XPCT relies on the use of phase-retrieval algorithms that make one or more limiting approximations for the experimental configuration and material properties.
A workflow for segmenting soil and plant X-ray CT images with deep learning in Googles Colaboratory
Recent advances in machine learning, specifically the application of convolutional neural networks to image analysis, have enabled rapid and accurate segmentation of image data.
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