diff --git a/monai/auto3dseg/utils.py b/monai/auto3dseg/utils.py
index 7aee846225..58b900d410 100644
--- a/monai/auto3dseg/utils.py
+++ b/monai/auto3dseg/utils.py
@@ -94,11 +94,11 @@ def get_label_ccp(mask_index: MetaTensor, use_gpu: bool = True) -> tuple[list[An
             regardless of this setting.
 
     """
-    cucim, has_cucim = optional_import("cucim")
+    skimage, has_cucim = optional_import("cucim.skimage")
     shape_list = []
     if mask_index.device.type == "cuda" and has_cp and has_cucim and use_gpu:
         mask_cupy = ToCupy()(mask_index.short())
-        labeled = cucim.skimage.measure.label(mask_cupy)
+        labeled = skimage.measure.label(mask_cupy)
         vals = cp.unique(labeled[cp.nonzero(labeled)])
 
         for ncomp in vals:
diff --git a/monai/transforms/utils.py b/monai/transforms/utils.py
index 33d468b86e..b769b8da2f 100644
--- a/monai/transforms/utils.py
+++ b/monai/transforms/utils.py
@@ -1027,11 +1027,11 @@ def get_largest_connected_component_mask(
     """
     # use skimage/cucim.skimage and np/cp depending on whether packages are
     # available and input is non-cpu torch.tensor
-    cucim, has_cucim = optional_import("cucim")
+    skimage, has_cucim = optional_import("cucim.skimage")
     use_cp = has_cp and has_cucim and isinstance(img, torch.Tensor) and img.device != torch.device("cpu")
     if use_cp:
         img_ = convert_to_cupy(img.short())  # type: ignore
-        label = cucim.skimage.measure.label
+        label = skimage.measure.label
         lib = cp
     else:
         if not has_measure: