Reduanul1997 commited on
Commit
7aca249
·
verified ·
1 Parent(s): 9fb51a0

Add Baseline vs SE validation comparison

Browse files
evaluation/baseline_vs_se_comparison.csv CHANGED
@@ -1,17 +1,17 @@
1
- Metric,Baseline 3D U-Net,SE Attention 3D U-Net,Unit
2
- Best Model Epoch,45.0,48.0,Epoch
3
- Training-Reported Best Validation Dice,0.772125,0.773046,Dice
4
- Foreground Macro Dice,0.7752109928303947,0.751161122192792,Dice
5
- Foreground Macro IoU,0.6382248216246319,0.610363120023954,IoU
6
- Foreground Macro Precision,0.8174835330605084,0.7985494716544408,Precision
7
- Foreground Macro Recall,0.7473307122885059,0.7203059913692811,Recall
8
- Tumor Dice,0.9170132244124318,0.9221925209405566,Dice
9
- Tumor IoU,0.846744618755766,0.8556189661490515,IoU
10
- Tumor Precision,0.935361335324936,0.9457929635760306,Precision
11
- Tumor Recall / Sensitivity,0.899371100371264,0.8997412111319005,Recall
12
- Tumor FNR,0.10062889962873361,0.10025878886809707,FNR
13
- Tumor FPR,0.01735648436905456,0.014009904452834464,FPR
14
- Tumor TP,3808565.0,3728802.0,Voxels
15
- Tumor TN,14900765.0,15040639.0,Voxels
16
- Tumor FP,263193.0,213712.0,Voxels
17
- Tumor FN,426133.0,415503.0,Voxels
 
1
+ Metric,Baseline 3D U-Net,SE Attention 3D U-Net,Difference (SE - Baseline),Better Model,Unit
2
+ Best Model Epoch,45.0,48.0,3.0,—,Epoch
3
+ Training-Reported Best Validation Dice,0.772125,0.773046,0.0009210000000000607,SE Attention 3D U-Net,Dice
4
+ Foreground Macro Dice,0.7752109928303947,0.751161122192792,-0.024049870637602777,Baseline 3D U-Net,Dice
5
+ Foreground Macro IoU,0.6382248216246319,0.610363120023954,-0.027861701600677913,Baseline 3D U-Net,IoU
6
+ Foreground Macro Precision,0.8174835330605084,0.7985494716544408,-0.01893406140606757,Baseline 3D U-Net,Precision
7
+ Foreground Macro Recall,0.7473307122885059,0.7203059913692811,-0.02702472091922481,Baseline 3D U-Net,Recall
8
+ Tumor Dice,0.9170132244124318,0.9221925209405566,0.005179296528124766,SE Attention 3D U-Net,Dice
9
+ Tumor IoU,0.846744618755766,0.8556189661490515,0.00887434739328552,SE Attention 3D U-Net,IoU
10
+ Tumor Precision,0.935361335324936,0.9457929635760306,0.01043162825109456,SE Attention 3D U-Net,Precision
11
+ Tumor Recall / Sensitivity,0.899371100371264,0.8997412111319005,0.0003701107606365328,SE Attention 3D U-Net,Recall
12
+ Tumor FNR,0.10062889962873361,0.10025878886809707,-0.0003701107606365467,SE Attention 3D U-Net,FNR
13
+ Tumor FPR,0.01735648436905456,0.014009904452834464,-0.003346579916220095,SE Attention 3D U-Net,FPR
14
+ Tumor TP,3808565.0,3728802.0,-79763.0,Baseline 3D U-Net,Voxels
15
+ Tumor TN,14900765.0,15040639.0,139874.0,SE Attention 3D U-Net,Voxels
16
+ Tumor FP,263193.0,213712.0,-49481.0,SE Attention 3D U-Net,Voxels
17
+ Tumor FN,426133.0,415503.0,-10630.0,SE Attention 3D U-Net,Voxels