Unsupervised Deep Anomaly Detection for Medical Images Using an Improved Adversarial Autoencoder.
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, and but very few sick samples. To alleviate the problem of data imbal...
| Published in: | Journal of Digital Imaging Vol. 35; no. 2; pp. 153 - 162 |
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| Main Authors: | , , , , |
| Format: | equations & formulas pictorial tables/charts Journal Article |
| Published: |
Springer Nature
Apr2022
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| Online Access: | View this record in EBSCOhost |