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CT-OCR-2022 dataset CT-OCR-2022 dataset contains optically scanned images for source paper document, X-ray projections, CT-reconstructed cross-sections and segmentation markups for model objects. Description of the structure of the dataset, contacts and information about the reference to the dataset see at https://doi.org/10.5281/zenodo.7123495.
virtual unrolling, virtual unwrapping, digital unfolding, computational flattening, computed tomography reconstruction
virtual unrolling, virtual unwrapping, digital unfolding, computational flattening, computed tomography reconstruction
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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