Fix the error of volume similarity sign

seg_metrics/seg_metrics.py

@@ -112,18 +112,22 @@ def computeQualityMeasures(lP: np.ndarray,
                 fnr = fn / (fn + tp)
 
 
-
-
-        dicecomputer = sitk.LabelOverlapMeasuresImageFilter()
-        dicecomputer.Execute(labelTrue > 0.5, labelPred > 0.5)
+        v_pred = np.sum(labelPred > 0.5)
+        v_gdth = np.sum(labelTrue > 0.5)
+        if v_pred + v_gdth == 0: # prediction results and ground truth are all 0
+            vs = 0
+        else:
+            vs = 2 * (v_pred - v_gdth) / (v_pred + v_gdth)
+        # dicecomputer = sitk.LabelOverlapMeasuresImageFilter()
+        # dicecomputer.Execute(labelPred > 0.5, labelTrue > 0.5)
 
         quality["dice"] = dice
         quality["jaccard"] = jaccard
         quality["precision"] = precision
         quality["recall"] = recall
         quality["fnr"] = fnr
         quality["fpr"] = fpr
-        quality["vs"] = dicecomputer.GetVolumeSimilarity()
+        quality["vs"] = vs
 
         quality["TP"] = tp
         quality["TN"] = tn

setup.py

@@ -24,7 +24,7 @@
 
 setuptools.setup(
     name="seg_metrics", # Replace with your own username
-    version="1.2.7",
+    version="1.2.8",
     author="Jingnan Jia",
     author_email="[email protected]",
     description="A package to compute different segmentation metrics for 2D/3D medical images.",