Update README.md

README.md

@@ -5,7 +5,7 @@ license: mit
 
 This is a segmentation model (MedFormer architecture) trained for pancreas tumor segmentation, as presented in the paper [**Scaling Artificial Intelligence for Multi-Tumor Early Detection with More Reports, Fewer Masks**](https://huggingface.co/papers/2510.14803).
 
-It serves as a public baseline for the MICCAI 2025 paper "Learning Segmentation from Radiology Report," specifically referred to as the "segmentation" baseline, and is trained on the [PanTS](https://github.com/MrGiovanni/PanTS) public dataset.
+It serves as a public baseline, specifically referred to as the "segmentation" baseline, and is trained on the [PanTS](https://github.com/MrGiovanni/PanTS) public dataset.
 
 This model is also a starting point for our R-Super framework: you can fine-tune it with radiology reports. Please see our [Report Supervision (R-Super) GitHub](https://github.com/MrGiovanni/R-Super).