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Fig. 4 | BMC Medical Informatics and Decision Making

Fig. 4

From: Uncertainty-aware automatic TNM staging classification for [18F] Fluorodeoxyglucose PET-CT reports for lung cancer utilising transformer-based language models and multi-task learning

Fig. 4

Receiver operating characteristic (ROC) and precision-recall curves for the best multi-task GatorTron model on both internal and external test sets. The ‘T’ precision-recall curve is included for completeness, but due to the class distribution being skewed towards the positive label it overstates performance and is likely not a suitable performance metric

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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