Clarify target representation and p-value computation in usage instructions

main.py

@@ -47,8 +47,9 @@ in biomedical images. The biomedical images can be of different types like CT, M
 4. Click on the 'Submit' button to see the prediction
 
 The model will highlight the detected targets in the image and show the targets that were not found below the image.
-Each target is represented by a different color.
-Each target comes with a p-value. A target whose p-value is below 0.05 is considered "not found".
+Each found target is represented by a different color.
+Each target comes with a p-value that is computed using the Kolmogorov-Smirnov test.
+A target whose p-value is below 0.05 is considered "not found".
 For more details, check out the paper [BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once](https://arxiv.org/abs/2405.12971).
 
 ## Modality Types