Fig. 3: Volume-to-volume retrieval performance comparison.
From: 3D foundation model for generalizable disease detection in head computed tomography
Mean average precision (retrieval mAP) for volume-to-volume retrieval with haemorrhage subtype retrieval on RSNA and CQ500. All-vs-all image retrieval was performed in this study, where every image in the dataset was used as a query once, and the gallery (the search space) was the entire dataset itself. Results are presented as mean ± 95% CI. The CI was calculated from scan-level retrievals (n = 10,379 independent scans for RSNA and n = 1,572 independent scans for CQ500). Additional methodological details are provided in ‘Methods’. Additional evaluation on Precision@K is presented in Supplementary Fig. 6. In the plot, we show that our model shows better retrieval performance compared with alternative models in majority of cases.
