Update README.md

README.md

@@ -44,11 +44,9 @@ However, to achieve optimal performance, it is highly recommended to fine-tune t
 
 <!-- This section is meant to convey both technical and sociotechnical limitations. -->
 
-The model is specialized in analyzing retinal fundus images, and is trained exclusively on fundus image datasets to classify images as glaucoma or non-glaucoma. 
-Therefore, to obtain accurate predictions, it is crucial to only input fundus images when using this model. 
-Feeding other types of images may lead to meaningless results. 
-In summary, this model expects fundus images as input for glaucoma classification. 
-For the best performance, please adhere strictly to this input specification.
+The model has undergone specialized training and fine-tuning exclusively using retinal fundus images, 
+with the objective to perform semantic segmentation of anatomical structures including the optic disc and optic cup. 
+Therefore, in order to derive optimal segmentation performance, it is imperative to ensure that only fundus images are entered as inputs to this model.
 
 ## How to Get Started with the Model