fix a bug for the calculation of hd95 when label does not exist in ground truth and prediction

Author: Jingnan-Jia

seg_metrics/seg_metrics.py

@@ -171,7 +171,10 @@ def computeQualityMeasures(lP: np.ndarray,
         quality["msd"] = np.mean(all_surface_distances)
         quality["mdsd"] = np.median(all_surface_distances)
         quality["stdsd"] = np.std(all_surface_distances)
-        quality["hd95"] = np.percentile(all_surface_distances, 95)
+        if len(all_surface_distances) == 0:  
+            quality["hd95"] = 0
+        else:
+            quality["hd95"] = np.percentile(all_surface_distances, 95)
         quality["hd"] = np.max(all_surface_distances)
     return quality
 

setup.py

@@ -24,7 +24,7 @@
 
 setuptools.setup(
     name="seg_metrics", # Replace with your own username
-    version="1.2.3",
+    version="1.2.4",
     author="Jingnan Jia",
     author_email="jiajingnan2222@gmail.com",
     description="A package to compute different segmentation metrics for 2D/3D medical images.",