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S.B. Coban (Sophia), V. Andriiashen (Vladyslav) and P.S. Ganguly (Poulami)

2020-12-24

Apple CT Data: Ground truth reconstructions - 1 of 6

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Summary: This submission is a supplementary material to the article [Coban 2020b]. As part of the manuscript, we release three simulated parallel-beam tomographic datasets of 94 apples with internal defects, the ground truth reconstructions and two defect label files.

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Keywords X-ray computed tomography, ground truth reconstructions, machine learning, deep learning
Persistent URL doi.org/10.5281/zenodo.4550729
Project Real-Time 3D Tomography , MUltiscale, Multimodal and Multidimensional imaging for EngineeRING
Rights creativecommons.org/licenses/by/4.0/legalcode
Grant This work was funded by the The Netherlands Organisation for Scientific Research (NWO); grant id nwo/639.073.506 - Real-Time 3D Tomography, This work was funded by the European Commission 7th Framework Programme; grant id h2020/765604 - MUltiscale, Multimodal and Multidimensional imaging for EngineeRING (MUMMERING)
Organisation Computational Imaging
Citation
Coban, S.B, Andriiashen, V, & Ganguly, P.S. (2020). Apple CT Data: Ground truth reconstructions - 1 of 6. doi:10.5281/zenodo.4550729


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