Extended Data Fig. 5: Comparison of abnormality-based performance metrics in the UPMC validation set.
From: Generalist foundation models from a multimodal dataset for 3D computed tomography
This figure provides a detailed analysis of performance metrics, including AUROC, accuracy, precision, and F1 scores, for detecting various abnormalities with our models in the UPMC validation set, compared to the fully supervised baseline model. It highlights the models’ remarkable adaptability and superior effectiveness with distribution shifts, setting a new standard in performance compared to a fully supervised baseline model.
