Multiscale generative model using regularized skip-connections and perceptual loss for anomaly detection in toxicologic histopathology
Background: Automated anomaly detection is an important tool that has been developed for many real-world applications, including security systems, industrial inspection, and medical diagnostics. Despite extensive use of machine learning for anomaly detection in these varied contexts, it is challengi...
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| Main Authors: | , , , , |
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| Format: | Book |
| Published: |
Elsevier,
2022-01-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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Internet
Connect to this object online.3rd Floor Main Library
| Call Number: |
A1234.567 |
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| Copy 1 | Available |