code: def __testing_data_process__(self, data):
      # crop data according net input size
      data = data.get_data()
  
      # resize data
      data = self.__resize_data__(data)
  
      # normalization datas
      data = self.__itensity_normalize_one_volume__(data)
  
      return data
  
file_path: MedicalNet/datasets/brains18.py
imports: import math
  import os
  import random
  import numpy
  from torch.utils.data import Dataset
  import nibabel
  from scipy import ndimage
label_desc: Use image node_id 11 for calling the BrainS18Dataset obj's underlying member method code with example usage: obj.__testing_data_process__(data) and returns: data