fix: address CodeRabbit minor issues

Signed-off-by: Rusheel Sharma <rusheelhere@gmail.com>

Author: Rusheel86

monai/metrics/generalized_dice.py

@@ -137,7 +137,7 @@ def compute_generalized_dice(
             predicted output. Defaults to True.
         weight_type (Union[Weight, str], optional): {``"square"``, ``"simple"``, ``"uniform"``}. Type of function to
             transform ground truth volume into a weight factor. Defaults to ``"square"``.
-        sum_over_labels (bool): Whether to sum the numerator and denominator across all labels before the final computation.
+        sum_over_classes (bool): Whether to sum the numerator and denominator across all classes before the final computation.
         ignore_index: class index to ignore from the metric computation.
 
     Returns:

monai/metrics/utils.py

@@ -165,7 +165,6 @@ def get_mask_edges(
     crop: bool = True,
     spacing: Sequence | None = None,
     always_return_as_numpy: bool = False,
-    ignore_index: int | None = None,
 ) -> tuple[NdarrayTensor, NdarrayTensor]:
     """
     Compute edges from binary segmentation masks. This
@@ -267,7 +266,6 @@ def get_surface_distance(
     seg_gt: NdarrayOrTensor,
     distance_metric: str = "euclidean",
     spacing: int | float | np.ndarray | Sequence[int | float] | None = None,
-    mask: NdarrayOrTensor | None = None,
 ) -> NdarrayOrTensor:
     """
     This function is used to compute the surface distances from `seg_pred` to `seg_gt`.
@@ -327,7 +325,6 @@ def get_edge_surface_distance(
     symmetric: bool = False,
     class_index: int = -1,
     mask: torch.Tensor | None = None,
-    ignore_index: int | None = None,
 ) -> tuple[
     tuple[torch.Tensor, torch.Tensor],
     tuple[torch.Tensor, torch.Tensor] | tuple[torch.Tensor],