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Found 4 papers, 2 papers with code
ADGym: Design Choices for Deep Anomaly Detection
Deep learning (DL) techniques have recently found success in anomaly detection (AD) across various fields such as finance, medical services, and cloud computing.
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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