diff --git a/src/torchmetrics/functional/segmentation/utils.py b/src/torchmetrics/functional/segmentation/utils.py
index 78dfcf524e3..dfd219ceb47 100644
--- a/src/torchmetrics/functional/segmentation/utils.py
+++ b/src/torchmetrics/functional/segmentation/utils.py
@@ -384,7 +384,7 @@ def surface_distance(
     return dis[preds]
 
 
-@functools.lru_cache()
+@functools.lru_cache
 def get_neighbour_tables(
     spacing: Union[Tuple[int, int], Tuple[int, int, int]], device: Optional[torch.device] = None
 ) -> Tuple[Tensor, Tensor]:
@@ -449,7 +449,7 @@ def table_contour_length(spacing: Tuple[int, int], device: Optional[torch.device
     return table, kernel
 
 
-@functools.lru_cache()
+@functools.lru_cache
 def table_surface_area(spacing: Tuple[int, int, int], device: Optional[torch.device] = None) -> Tuple[Tensor, Tensor]:
     """Create a table that maps neighbour codes to the surface area of the corresponding surface.