code: def _get_breast_mask(image, min_breast_color_threshold=0.05):
      """Get the binary mask of the breast region of the image."""
      cv2 = tfds.core.lazy_imports.cv2
      threshold = int(image.max() * min_breast_color_threshold)
      _, image_binary = cv2.threshold(
          image, threshold, 255, cv2.THRESH_BINARY
      )
      contours = _find_contours(
          image_binary, cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE
      )
      contours_areas = [cv2.contourArea(cont) for cont in contours]
      biggest_contour_idx = np.argmax(contours_areas)
      return cv2.drawContours(
          np.zeros_like(image_binary),
          contours,
          biggest_contour_idx,
          255,
          cv2.FILLED,
      )
  
imports: import csv
  import os
  import re
  from absl import logging
  import numpy
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  import tensorflow_datasets.public_api
label_desc: Use image node_id 7 for calling a global function with example usage: _get_breast_mask(image, min_breast_color_threshold) and returns: cv2