Emergency triage of brain computed tomography via anomaly detection with a deep generative model

Triage is essential for the early diagnosis and reporting of neurologic emergencies. Herein, we report the development of an anomaly detection algorithm (ADA) with a deep generative model trained on brain computed tomography (CT) images of healthy individuals that reprioritizes radiology worklists a...

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Detalles Bibliográficos
Autores principales: Lee, Seungjun, Jeong, Boryeong, Kim, Minjee, Jang, Ryoungwoo, Paik, Wooyul, Kang, Jiseon, Chung, Won Jung, Hong, Gil-Sun, Kim, Namkug
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9307758/
https://www.ncbi.nlm.nih.gov/pubmed/35869112
http://dx.doi.org/10.1038/s41467-022-31808-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9307758/
https://www.ncbi.nlm.nih.gov/pubmed/35869112
http://dx.doi.org/10.1038/s41467-022-31808-0

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