Faster and Better: How Anomaly Detection Can Accelerate and Improve Reporting of Head Computed Tomography

Background: Most artificial intelligence (AI) systems are restricted to solving a pre-defined task, thus limiting their generalizability to unselected datasets. Anomaly detection relieves this shortfall by flagging all pathologies as deviations from a learned norm. Here, we investigate whether diagn...

Descripción completa

Detalles Bibliográficos
Autores principales: Finck, Tom, Moosbauer, Julia, Probst, Monika, Schlaeger, Sarah, Schuberth, Madeleine, Schinz, David, Yiğitsoy, Mehmet, Byas, Sebastian, Zimmer, Claus, Pfister, Franz, Wiestler, Benedikt
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8871235/
https://www.ncbi.nlm.nih.gov/pubmed/35204543
http://dx.doi.org/10.3390/diagnostics12020452

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8871235/
https://www.ncbi.nlm.nih.gov/pubmed/35204543
http://dx.doi.org/10.3390/diagnostics12020452

Ejemplares similares