code: def __init__(
      self,
      keys: KeysCollection,
      mode="RGB",
      dtype=np.uint8,
      padding=True,
  ):
      super().__init__(keys)
      self.mode = mode
      self.dtype = dtype
      self.padding = padding
  
imports: import logging
  import pathlib
  import numpy
  import openslide
  import torch
  from monai.config import KeysCollection
  from monai.data import MetaTensor
  from monai.transforms import MapTransform
  from monai.utils import PostFix, convert_to_numpy, ensure_tuple
  from PIL import Image
  from scipy.ndimage import binary_fill_holes
  from skimage.morphology import remove_small_holes, remove_small_objects
label_desc: Use image node_id 1 to create a new LoadImagePatchd object from inherited base classes: MapTransform with example: obj = LoadImagePatchd(keys, mode, dtype, padding)