code: def generate_individual_case(self, case):
      self.return_objects = []
      self.return_filenames = []
      input_data = self.data_collection.get_data(self.case)
      self.process_case(input_data)
      self.postprocess(input_data)
  
      self.close_output()
  
      return_dict = {
          "data": self.return_objects,
          "filenames": self.return_filenames,
      }
      return return_dict
  
imports: import os
  import csv
  import numpy
  from collections import defaultdict
  from deepneuro.utilities.conversion import save_data
  from deepneuro.utilities.util import add_parameter, replace_suffix, nifti_splitext, additional_kwargs
  from deepneuro.utilities.visualize import check_data
label_desc: Use image node_id 6 for calling the Output obj's underlying member method code with example usage: obj.generate_individual_case(case) and returns: return_dict