Addressing the Contrast Media Recognition Challenge: A Fully Automated Machine Learning Approach for Predicting Contrast Phases in CT Imaging.

Giulia BaldiniRené HoschCynthia S SchmidtKatarzyna BorysLennard KrollSven KoitkaPatrizia HauboldObioma PelkaFelix NensaJohannes Haubold

Published in: Investigative radiology (2024)

The integration of open-source segmentation networks and classifiers effectively classified contrast phases and identified GIT contrast enhancement using anatomical landmarks.

Keyphrases

magnetic resonance
contrast enhanced
machine learning
deep learning
computed tomography
magnetic resonance imaging
high throughput
artificial intelligence