Schmitt, Niclas
[VerfasserIn];
Mokli, Yahia
[VerfasserIn];
Weyland, Charlotte S.
[VerfasserIn];
Gerry, S.
[VerfasserIn];
Herweh, Christian
[VerfasserIn];
Ringleb, Peter A.
[VerfasserIn];
Nagel, Simon
[VerfasserIn]
Automated detection and segmentation of intracranial hemorrhage suspect hyperdensities in non-contrast-enhanced CT scans of acute stroke patients
Sie können Bookmarks mittels Listen verwalten, loggen Sie sich dafür bitte in Ihr SLUB Benutzerkonto ein.
Medientyp:
E-Artikel
Titel:
Automated detection and segmentation of intracranial hemorrhage suspect hyperdensities in non-contrast-enhanced CT scans of acute stroke patients
Anmerkungen:
Online veröffentlicht am 13. November 2021
Beschreibung:
Artificial 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 accelerate stroke management.