diff --git a/monai/apps/detection/transforms/dictionary.py b/monai/apps/detection/transforms/dictionary.py
index 7284fb6404..8ca0b1c5a4 100644
--- a/monai/apps/detection/transforms/dictionary.py
+++ b/monai/apps/detection/transforms/dictionary.py
@@ -258,7 +258,6 @@ class AffineBoxToImageCoordinated(MapTransform, InvertibleTransform):
     Args:
         box_keys: Keys to pick box data for transformation. The box mode is assumed to be ``StandardMode``.
         box_ref_image_keys: The single key that represents the reference image to which ``box_keys`` are attached.
-        remove_empty: whether to remove the boxes that are actually empty
         allow_missing_keys: don't raise exception if key is missing.
         image_meta_key: explicitly indicate the key of the corresponding metadata dictionary.
             for example, for data with key `image`, the metadata by default is in `image_meta_dict`.
@@ -347,7 +346,6 @@ class AffineBoxToWorldCoordinated(AffineBoxToImageCoordinated):
     Args:
         box_keys: Keys to pick box data for transformation. The box mode is assumed to be ``StandardMode``.
         box_ref_image_keys: The single key that represents the reference image to which ``box_keys`` are attached.
-        remove_empty: whether to remove the boxes that are actually empty
         allow_missing_keys: don't raise exception if key is missing.
         image_meta_key: explicitly indicate the key of the corresponding metadata dictionary.
             for example, for data with key `image`, the metadata by default is in `image_meta_dict`.
diff --git a/monai/apps/pathology/transforms/post/dictionary.py b/monai/apps/pathology/transforms/post/dictionary.py
index 44f9279b54..2e8e34b7be 100644
--- a/monai/apps/pathology/transforms/post/dictionary.py
+++ b/monai/apps/pathology/transforms/post/dictionary.py
@@ -178,7 +178,6 @@ class GenerateInstanceBorderd(Transform):
         border_key: the output key where instance border map is written. Defaults to `"border"`.
         kernel_size: the size of the Sobel kernel. Defaults to 21.
         dtype: target data content type to convert, default is np.float32.
-        allow_missing_keys: don't raise exception if key is missing.
 
     Raises:
         ValueError: when the `hover_map` has only one value.
@@ -259,7 +258,6 @@ class GenerateWatershedMarkersd(Transform):
         min_object_size: objects smaller than this size are removed. Defaults to 10.
         postprocess_fn: execute additional post transformation on marker. Defaults to None.
         dtype: target data content type to convert, default is np.uint8.
-        allow_missing_keys: don't raise exception if key is missing.
     """
 
     backend = GenerateWatershedMarkers.backend
diff --git a/monai/metrics/active_learning_metrics.py b/monai/metrics/active_learning_metrics.py
index a31d2fc150..41d063d5ec 100644
--- a/monai/metrics/active_learning_metrics.py
+++ b/monai/metrics/active_learning_metrics.py
@@ -79,8 +79,6 @@ class LabelQualityScore(Metric):
     with uncertainty
     Args:
         include_background: Whether to include the background of the spatial image or channel 0 of the 1-D vector
-        spatial_map: Boolean, if set to True, spatial map of variance will be returned corresponding to i/p image
-        dimensions
         scalar_reduction: reduction type of the metric, either 'sum' or 'mean' can be used
 
     """