code: def show(
      self: DcmDataset,
      scale=True,
      cmap=plt.cm.bone,
      min_px=-1100,
      max_px=None,
      **kwargs,
  ):
      "Display a normalized dicom image by default"
      px = (
          self.windowed(*scale)
          if isinstance(scale, tuple)
          else self.hist_scaled(
              min_px=min_px, max_px=max_px, brks=scale
          )
          if isinstance(scale, (ndarray, Tensor))
          else self.hist_scaled(min_px=min_px, max_px=max_px)
          if scale
          else self.scaled_px
      )
      show_image(px, cmap=cmap, **kwargs)
  
imports: from __future__ import annotations
  from ..basics import *
  from ..vision.all import *
  from ..data.transforms import *
  import pydicom, kornia, skimage
  from pydicom.dataset import Dataset
  from pydicom.tag import BaseTag
  from pydicom.multival import MultiValue
  from PIL import Image
label_desc: Use image node_id 13 for calling a global function with example usage: show(scale, cmap, min_px, max_px) without return types