align evaluation summary with eight held-out datasets

README.md

@@ -199,12 +199,14 @@ and the FluXray database.
 
 ## Evaluation
 
-FleXray was evaluated on nine real-radiograph datasets held out from training
-(ElbowLat, HipRay, LowerLimbs, MendeleyCXR, MTDDH, DarwinCVD19, DeepFluoro,
-RAM-W600, VinDr-Rib), spanning lungs, ribs, peripheral bones, spine, and
-pelvis. Against generalist baselines (FluoroSAM, TotalSegmentator2D, PAXray)
-it achieves the highest macro Dice in every comparison (9 of 9). Per-dataset
-numbers and confidence intervals are in the paper; the benchmark figure is on
+FleXray was evaluated on eight real-radiograph datasets held out from training
+(DarwinCVD19, DeepFluoro, ElbowLat, HipRay, LowerLimbs, RAM-W600, PedsTorso,
+and VinDr-Rib), spanning lungs, ribs, peripheral bones, spine, and pelvis.
+Against supported generalist baselines (FluoroSAM, TotalSegmentator2D, PAXray),
+FleXray performs best or ties on all eight datasets, with significant
+improvements on seven and no statistically detectable difference from PAXray
+on VinDr-Rib. Per-dataset numbers and confidence intervals are in the paper;
+the benchmark figure is on
 the [project website](https://flexray.csail.mit.edu/#results).
 Evaluation ignores ground-truth labels covering less than 0.1% of the image.