Update README.md

README.md

@@ -35,10 +35,8 @@ To obtain optimal predictions, it is recommended to provide this model with stan
 
 <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
 
-The pretrained model provides glaucoma classification functionality solely based on analysis of retinal fundus images. 
-You may directly utilize the raw model without modification to categorize fundus images as either glaucoma or non-glaucoma. 
-This model is specialized in extracting discriminative features from fundus images to identify glaucoma manifestations. 
-However, to achieve optimal performance, it is highly recommended to fine-tune the model on a representative fundus image dataset prior to deployment in real-world applications.
+his pretrained model enables semantic segmentation of key anatomical structures， namely, the optic disc and optic cup, in retinal fundus images. 
+It takes fundus images as input and outputs the segmentation results.
 
 ## Bias, Risks, and Limitations