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Found 3 papers, 2 papers with code
Parallel-beam X-ray CT datasets of apples with internal defects and label balancing for machine learning
Therefore the datasets can be used for image reconstruction, segmentation, automatic defect detection, and testing the effects of (as well as applying new methodologies for removing) label bias in machine learning.
3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning
This study showed the feasibility of deep learning based deformable registration of longitudinal abdominopelvic CT images via a novel incremental training strategy based on simulated deformations.
A Cone-Beam X-Ray CT Data Collection designed for Machine Learning
Unlike previous works, this open data collection consists of X-ray cone-beam (CB) computed tomography (CT) datasets specifically designed for machine learning applications and high cone-angle artefact reduction.
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