code: def image_to_cluster_images(image, min_cluster_size=50, min_thresh=1e-06, max_thresh=1):
      
      if not isinstance(image, iio.ANTsImage):
          raise ValueError('image must be ANTsImage type')
  
      clust = label_clusters(image, min_cluster_size, min_thresh, max_thresh)
      labs = np.unique(clust[clust > 0])
  
      clustlist = []
      for i in range(len(labs)):
          labimage = image.clone()
          labimage[clust != labs[i]] = 0
          clustlist.append(labimage)
      return clustlist
docs: Converts an image to several independent images.
  
      Produces a unique image for each connected 
      component 1 through N of size > min_cluster_size
  
      ANTsR function: `image2ClusterImages`
  
      Arguments
      ---------
      image : ANTsImage
          input image
      min_cluster_size : integer
          throw away clusters smaller than this value
      min_thresh : scalar
          threshold to a statistical map
      max_thresh : scalar
          threshold to a statistical map
  
      Returns
      -------
      list of ANTsImage types
  
      Example
      -------
      >>> import ants
      >>> image = ants.image_read(ants.get_ants_data('r16'))
      >>> image = ants.threshold_image(image, 1, 1e15)
      >>> image_cluster_list = ants.image_to_cluster_images(image)