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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Detalles Bibliográficos
Autores principales: Zehnder, Philip, Feng, Jeffrey, Fuji, Reina N., Sullivan, Ruth, Hu, Fangyao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Original Research Article
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

Internet

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

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