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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9576973/ https://www.ncbi.nlm.nih.gov/pubmed/36268071 http://dx.doi.org/10.1016/j.jpi.2022.100102 |