Using Machine Learning to Identify Intravenous Contrast Phases on Computed Tomography

•It is possible to train a fully automatic system for contrast enhancement phase identification on abdomen CT using solely weak labels extracted from DICOM metadata•Using a Zero-Shot Learning approach, it is possible to further classify contrast enhancement phases by modeling the delay in seconds fo...

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Veröffentlicht in:	Computer methods and programs in biomedicine 2022-03, Vol.215, p.106603-106603, Article 106603
Hauptverfasser:	Muhamedrahimov, Raouf, Bar, Amir, Laserson, Jonathan, Akselrod-Ballin, Ayelet, Elnekave, Eldad
Format:	Artikel
Sprache:	eng
Schlagworte:	Abdomen - diagnostic imaging Algorithms Machine Learning Pelvis Tomography, X-Ray Computed
Online-Zugang:	Volltext
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