class_docstr: Diabetic retinopathy detection.
code: def _process_image(self, filepath):
      with tf.io.gfile.GFile(filepath, mode="rb") as image_fobj:
          if self.builder_config.name.startswith("btgraham"):
              return _btgraham_processing(
                  image_fobj=image_fobj,
                  filepath=filepath,
                  target_pixels=self.builder_config.target_pixels,
                  crop_to_radius=True,
              )
          else:
              return _resize_image_if_necessary(
                  image_fobj=image_fobj,
                  target_pixels=self.builder_config.target_pixels,
              )
  
imports: import csv
  import io
  import os
  from absl import logging
  from etils import epath
  import numpy
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  import tensorflow_datasets.public_api
label_desc: Use image node_id 4 for calling the DiabeticRetinopathyDetection obj's underlying member method code with example usage: obj._process_image(filepath) and returns: _btgraham_processing, _resize_image_if_necessary