Accuracy and time efficiency of a novel deep learning algorithm for Intracranial Hemorrhage detection in CT Scans

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Accuracy and time efficiency of a novel deep learning algorithm for Intracranial Hemorrhage detection in CT Scans ; volume:129 ; number:10 ; day:9 ; month:8 ; year:2024 ; pages:1499-1506 ; date:10.2024
La Radiologia medica ; 129, Heft 10 (9.8.2024), 1499-1506, 10.2024

Creator: D’Angelo, Tommaso
Bucolo, Giuseppe M.
Kamareddine, Tarek
Yel, Ibrahim
Koch, Vitali
Gruenewald, Leon D.
Martin, Simon
Alizadeh, Leona S.
Mazziotti, Silvio
Blandino, Alfredo
Vogl, Thomas J.
Booz, Christian

Contributor: SpringerLink (Online service)

DOI: 10.1007/s11547-024-01867-y

URN: urn:nbn:de:101:1-2501022143326.198839188989

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:31 AM CEST

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D’Angelo, Tommaso
Bucolo, Giuseppe M.
Kamareddine, Tarek
Yel, Ibrahim
Koch, Vitali
Gruenewald, Leon D.
Martin, Simon
Alizadeh, Leona S.
Mazziotti, Silvio
Blandino, Alfredo
Vogl, Thomas J.
Booz, Christian
SpringerLink (Online service)

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Accuracy and time efficiency of a novel deep learning algorithm for Intracranial Hemorrhage detection in CT Scans

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Other Objects (12)

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Prediction of intracranial findings on CT-scans by alternative modelling techniques

Intracranial Hemorrhage in Pregnancy

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Headache, cardiac arrest, and intracranial hemorrhage

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

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