Archive SE Attention 3D U-Net validation evaluation artifacts

evaluation/se_attention_evaluation_metrics.csv

@@ -1,16 +1,16 @@
 Model,Best_Model_Epoch,Metric_Level,Metric,Value
-SE3DUNet,48,Foreground Macro,Dice,0.751161122192792
-SE3DUNet,48,Foreground Macro,IoU,0.610363120023954
-SE3DUNet,48,Foreground Macro,Precision,0.7985494716544408
-SE3DUNet,48,Foreground Macro,Recall,0.7203059913692811
-SE3DUNet,48,Tumor,Dice,0.9221925209405566
-SE3DUNet,48,Tumor,IoU,0.8556189661490515
-SE3DUNet,48,Tumor,Precision,0.9457929635760306
-SE3DUNet,48,Tumor,Recall,0.8997412111319005
-SE3DUNet,48,Tumor,Sensitivity,0.8997412111319005
-SE3DUNet,48,Tumor,FNR,0.10025878886809707
-SE3DUNet,48,Tumor,FPR,0.014009904452834464
-SE3DUNet,48,Tumor,TP,3728802.0
-SE3DUNet,48,Tumor,TN,15040639.0
-SE3DUNet,48,Tumor,FP,213712.0
-SE3DUNet,48,Tumor,FN,415503.0
+SE3DUNet,48,Foreground Macro,Dice,0.7610692589733999
+SE3DUNet,48,Foreground Macro,IoU,0.6221029962007719
+SE3DUNet,48,Foreground Macro,Precision,0.8114060556626961
+SE3DUNet,48,Foreground Macro,Recall,0.7258300177342824
+SE3DUNet,48,Tumor,Dice,0.9216496372309628
+SE3DUNet,48,Tumor,IoU,0.8546847750524318
+SE3DUNet,48,Tumor,Precision,0.9470200761359134
+SE3DUNet,48,Tumor,Recall,0.897603068027069
+SE3DUNet,48,Tumor,Sensitivity,0.897603068027069
+SE3DUNet,48,Tumor,FNR,0.1023969319729286
+SE3DUNet,48,Tumor,FPR,0.013822529972448414
+SE3DUNet,48,Tumor,TP,3758431.0
+SE3DUNet,48,Tumor,TN,15001209.0
+SE3DUNet,48,Tumor,FP,210261.0
+SE3DUNet,48,Tumor,FN,428755.0