diff --git a/code/utils/losses.py b/code/utils/losses.py
index 94a0bac..b55e4b0 100644
--- a/code/utils/losses.py
+++ b/code/utils/losses.py
@@ -169,12 +169,16 @@ def _one_hot_encoder(self, input_tensor):
     def _dice_loss(self, score, target):
         target = target.float()
         smooth = 1e-5
-        intersect = torch.sum(score * target)
-        y_sum = torch.sum(target * target)
-        z_sum = torch.sum(score * score)
-        loss = (2 * intersect + smooth) / (z_sum + y_sum + smooth)
-        loss = 1 - loss
-        return loss
+        # Compute per-sample dice to match CrossEntropyLoss mean reduction
+        batch_size = score.shape[0]
+        loss = 0.0
+        for i in range(batch_size):
+            intersect = torch.sum(score[i] * target[i])
+            y_sum = torch.sum(target[i] * target[i])
+            z_sum = torch.sum(score[i] * score[i])
+            sample_loss = 1 - (2 * intersect + smooth) / (z_sum + y_sum + smooth)
+            loss += sample_loss
+        return loss / batch_size
 
     def forward(self, inputs, target, weight=None, softmax=False):
         if softmax: