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Found 3 papers, 1 papers with code
Weakly Supervised Anomaly Detection: A Survey
Anomaly detection (AD) is a crucial task in machine learning with various applications, such as detecting emerging diseases, identifying financial frauds, and detecting fake news.
A novel deep learning-based method for monochromatic image synthesis from spectral CT using photon-counting detectors
To solve this problem, in this paper, we proposed a novel deep learning-based monochromatic image synthesis method working in sinogram domain.
A cascaded dual-domain deep learning reconstruction method for sparsely spaced multidetector helical CT
This step is to suppress helical artifacts and reduce the following computational cost.
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