German CheXpert Chest X-ray Radiology Report Labeler
Alessandro Wollek Sardi Hyska Thomas Sedlmeyr Philip Haitzer Johannes Rueckel Bastian O. Sabel Michael Ingrisch Tobias Lasser
This study aimed to develop an algorithm to automatically extract annotations
for chest X-ray classification models from German thoracic radiology reports.
An automatic label extraction model was designed based on the CheXpert
architecture, and a web-based annotation interface was created for iterative
improvements. Results showed that automated label extraction can reduce time
spent on manual labeling and improve overall modeling performance. The model
trained on automatically extracted labels performed competitively to manually
labeled data and strongly outperformed the model trained on publicly available
data.