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Found 3 papers, 3 papers with code
A tomographic workflow to enable deep learning for X-ray based foreign object detection
In this work, we propose a Computed Tomography (CT) based method for producing training data for supervised learning of foreign object detection, with minimal labour requirements.
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.
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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