Update README.md

README.md

@@ -92,7 +92,7 @@ Each whole-slide image was sectioned into smaller images in a grid-wise fashion
 - Images have a 10% chance of random Gaussian blur, with sigma between 0.5-2.0
 - Images are standardized with `tf.image.per_image_standardization()`
 - Images are classified through an Xception block, followed by two hidden layers with dropout (p=0.1) enabled during training
-- The loss is cross-entropy, with adenocarcinoma=0 and squamous=1
+- The loss is cross-entropy, with ER-negative=0 and ER-positive=1
 - Training is completed after 1 epoch
 
 - **Hardware:** 1 x A100 GPUs