Schmitt, Niclas
[Author];
Mokli, Yahia
[Author];
Weyland, Charlotte S.
[Author];
Gerry, S.
[Author];
Herweh, Christian
[Author];
Ringleb, Peter A.
[Author];
Nagel, Simon
[Author]
Automated detection and segmentation of intracranial hemorrhage suspect hyperdensities in non-contrast-enhanced CT scans of acute stroke patients
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Media type:
E-Article
Title:
Automated detection and segmentation of intracranial hemorrhage suspect hyperdensities in non-contrast-enhanced CT scans of acute stroke patients
Footnote:
Online veröffentlicht am 13. November 2021
Description:
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.