Supplementary material for manuscript: Self-absorption Correction in X-ray Fluorescence Computed Tomography with Deep Convolutional Neural Network

Citation Author(s):
Bo
Gao
Ghent University
Submitted by:
Bo Gao
Last updated:
Tue, 05/17/2022 - 22:18
DOI:
10.21227/q2s3-t702
Research Article Link:
Self-Absorption Correction in X-Ray Fluorescence- Computed Tomography With Deep Convolutional Neural Network
License:
Creative Commons Attribution
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Categories:
Image Processing
Machine Learning
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Abstract 

Supplementary materials for manuscript: Self-absorption Correction in X-ray Fluorescence Computed Tomography with Deep Convolutional Neural Network, 

Instructions: 

See "supplementary material.pdf" for the performance of the trained DC-Unet on the segmented fluorescence singorams. 

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    File Supplementary material.pdf736.84 KB

     

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