Automated detection and segmentation of intracranial hemorrhage suspect hyperdensities in non-contrast-enhanced CT scans of acute stroke patients

OBJECTIVES: Artif icial intelligence (AI)–based image analysis is increasingly applied in the acute stroke field. Its implementation for the detection and quantification of hemorrhage suspect hyperdensities in non-contrast-enhanced head CT (NCCT) scans may facilitate clinical decision-making and acc...

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Detalles Bibliográficos
Autores principales: Schmitt, N., Mokli, Y., Weyland, C. S., Gerry, S., Herweh, C., Ringleb, P. A., Nagel, S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Imaging Informatics and Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8921016/
https://www.ncbi.nlm.nih.gov/pubmed/34773465
http://dx.doi.org/10.1007/s00330-021-08352-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8921016/
https://www.ncbi.nlm.nih.gov/pubmed/34773465
http://dx.doi.org/10.1007/s00330-021-08352-4

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