Unsupervised Deep Anomaly Detection for Medical Images Using an Improved Adversarial Autoencoder
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Digital Imaging"
DOI: 10.1007/s10278-021-00558-8
Abstract: Anomaly detection has been applied in the various disease of medical practice, such as breast cancer, retinal, lung lesion, and skin disease. However, in real-world anomaly detection, there exist a large number of healthy samples,… read more here.
Keywords: deep anomaly; anomaly detection; detection; adversarial autoencoder ... See more keywords
A New Deep Anomaly Detection-Based Method for User Authentication Using Multichannel Surface EMG Signals of Hand Gestures
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3164162
Abstract: User authentication plays an important role in securing systems and devices by preventing unauthorized accesses. Although surface electromyogram (sEMG) has been widely applied for human machine interface (HMI) applications, it has only seen a very… read more here.
Keywords: authentication; deep anomaly; user authentication; hand ... See more keywords
A Quantum-Classical Hybrid Solution for Deep Anomaly Detection
Sign Up to like & getrecommendations! Published in 2023 at "Entropy"
DOI: 10.3390/e25030427
Abstract: Machine learning (ML) has achieved remarkable success in a wide range of applications. In recent ML research, deep anomaly detection (AD) has been a hot topic with the aim of discriminating among anomalous data with… read more here.
Keywords: deep anomaly; classical hybrid; hybrid solution; anomaly detection ... See more keywords