code: def test_segmentation_spleen(self):
      if not torch.cuda.is_available():
          return
  
      model = "segmentation_spleen"
      image = "spleen_8"
  
      response = requests.post(
          f"{SERVER_URI}/infer/{model}?image={image}"
      )
      assert response.status_code == 200
  
file_path: MONAILabel/tests/integration/radiology/test_infer.py
imports: import json
  import unittest
  import requests
  import torch
  from tests.integration import SERVER_URI
label_desc: Use image node_id 1 for calling the EndPointInfer obj's underlying member method code with example usage: obj.test_segmentation_spleen() without return types