Update README.md

README.md

@@ -11,10 +11,9 @@ tags:
 
 This repository contains the BiomedSegFM dataset, a crucial resource for the **CVPR 2025 Competition: Foundation Models for 3D Biomedical Image Segmentation**.
 
-The dataset is utilized by the model presented in the paper [Medal S: Spatio-Textual Prompt Model for Medical Segmentation](https://huggingface.co/papers/2511.13001). This paper introduces a medical segmentation foundation model that supports native-resolution spatial and textual prompts, achieving channel-wise alignment between volumetric prompts and text embeddings. The dataset preserves full 3D context, efficiently processes multiple native-resolution masks in parallel, and supports up to 243 classes across CT, MRI, PET, ultrasound, and microscopy modalities.
+- Foundation Models for Interactive 3D Biomedical Image Segmentation ([Homepage](https://www.codabench.org/competitions/5263/))
 
-**Paper:** [https://huggingface.co/papers/2511.13001](https://huggingface.co/papers/2511.13001)
-**Code:** [https://github.com/yinghemedical/Medal-S](https://github.com/yinghemedical/Medal-S)
+- Foundation Models for Text-guided 3D Biomedical Image Segmentation ([Homepage](https://www.codabench.org/competitions/5651/))
 
 # CVPR 2025 Competition: Foundation Models for 3D Biomedical Image Segmentation