## 5 Experiments and Results
\begin{table}
\begin{tabular}{c l l l l l l l l} \hline \hline \multicolumn{1}{c}{**Metrics**} & \multicolumn{1}{c}{**Architecture**} & \multicolumn{1}{c}{**LV**} & \multicolumn{1}{c}{**Myo**} & \multicolumn{1}{c}{**RV**} & \multicolumn{1}{c}{**LA**} & \multicolumn{1}{c}{**RA**} & \multicolumn{1}{c}{**AO**} & \multicolumn{1}{c}{**PA**} \\ \hline \multirow{8}{*}{DSC} & 3D Pre-ResNet & 0.9014 & 0.8088 & 0.8644 & 0.8751 & 0.8521 & 0.8891 & 0.7945 \\  & & \(\pm\) 0.0342 & \(\pm\) 0.0178 & \(\pm\) 0.0457 & \(\pm\) 0.0111 & \(\pm\) 0.1089 & \(\pm\) 0.2701 & \(\pm\) 0.3002 \\  & 3D Pre-ResNet +VAE & 0.9121 & 0.8077 & 0.8544 & 0.8810 & 0.8566 & 0.8932 & 0.7763 \\  & & \(\pm\) 0.0458 & \(\pm\) 0.0388 & \(\pm\) 0.1882 & \(\pm\) 0.0157 & \(\pm\) 0.0501 & \(\pm\) 0.0327 & \(\pm\) 0.0497 \\  & 3D FM-Pre-ResNet & 0.9080 & 0.8220 & 0.8632 & 0.8846 & 0.8432 & 0.8755 & 0.7947 \\  & & \(\pm\)0.0102 & \(\pm\) 0.0245 & \(\pm\) 0.0233 & \(\pm\) 0.0589 & \(\pm\) 0.0799 & \(\pm\) 0.0301 & \(\pm\) 0.0243 \\  & **3D FM-Pre-ResNet + VAE** & **0.9313** & **0.8147** & **0.8777** & **0.9017** & **0.8702** & **0.8821** & **0.8020** \\  & & \(\pm\) **0.0885** & \(\pm\) **0.0119** & \(\pm\) **0.0154** & \(\pm\) **0.0867** & \(\pm\) **0.0146** & \(\pm\) **0.0137** & \(\pm\) **0.1102** \\ \hline \multirow{8}{*}{JI} & 3D Pre-ResNet & 0.8005 & 0.6222 & 0.7129 & 0.7419 & 0.7051 & 0.7208 & 0.6076 \\  & & \(\pm\) 0.1155 & \(\pm\) 0.1235 & \(\pm\) 0.1494 & \(\pm\) 0.1084 & \(\pm\) 0.1453 & \(\pm\) 0.1395 & \(\pm\) 0.1286 \\  & 3D Pre-ResNet +VAE & 0.8344 & 0.7178 & 0.7123 & 0.7942 & 0.7108 & 0.8155 & 0.6328 \\  & & \(\pm\) 0.0587 & \(\pm\) 0.0441 & \(\pm\) 0.0328 & \(\pm\) 0.0758 & \(\pm\) 0.0107 & \(\pm\) 0.0789 & \(\pm\) 0.0977 \\  & 3D FM-Pre-ResNet & 0.8001 & 0.7244 & 0.7732 & 0.8155 & 0.7201 & 0.8053 & 0.6855 \\  & & \(\pm\) 0.06732 & \(\pm\) 0.0483 & \(\pm\) 0.1652 & \(\pm\) 0.0559 & \(\pm\) 0.1551 & \(\pm\) 0.1344 & \(\pm\) 0.0266 \\  & **3D FM-Pre-ResNet + VAE** & **0.8159** & **0.7388** & **0.7244** & **0.8053** & **0.7221** & **0.8147** & **0.7095** \\  & & \(\pm\) **0.0.0891** & **\(\pm\) 0.0552** & **\(\pm\) 0.0341** & \(\pm\) **0.0322** & **\(\pm\) 0.2175** & **\(\pm\) 0.0285** & **\(\pm\) 0.1532** \\ \hline \multirow{8}{*}{SD} & 3D Pre-ResNet & 3.1154 & 4.1305 & 3.8078 & 1.9685 & 3.1319 & 1.7262 & 1.9394 \\  & & \(\pm\) 4.2951 & \(\pm\) 4.4141 & \(\pm\) 5.6198 & \(\pm\) 1.8108 & \(\pm\) 3.0756 & \(\pm\) 1.8632 & \(\pm\) 0.8231 \\  & 3D Pre-ResNet +VAE & 2.0102 & 3.7214 & 2.5699 & 1.5421 & 2.6542 & 1.2201 & 1.5572 \\  & & \(\pm\) 3.0051 & \(\pm\) 3.2708 & \(\pm\) 4.3201 & \(\pm\) 1.3037 & \(\pm\) 2.7822 & \(\pm\) 1.2447 & \(\pm\) 0.6241 \\  & 3D FM-Pre-ResNet & 1.4425 & 2.1778 & 2.8321 & 1.7728 & 2.4880 & 1.0027 & 2.3571 \\  & & \(\pm\)0.6055 & \(\pm\) 4.2871 & \(\pm\) 3.5542 & \(\pm\) 1.4002 & \(\pm\) 2.3551 & \(\pm\) 1.1998 & \(\pm\) 0.7581 \\  & **3D FM-Pre-ResNet + VAE** & **0.9789** & **1.7562** & **1.2552** & **1.8853** & **1.99722** & **0.6799** & **2.0774** \\  & & \(\pm\) **1.7757** & **\(\pm\) 1.3321** & **\(\pm\) 1.9947** & \(\pm\) **1.5570** & **\(\pm\) 1.8771** & **\(\pm\) 0.7844** & **\(\pm\) 0.8231** \\ \hline \multirow{8}{*}{HD} & 3D Pre-ResNet & 33.6531 & 38.8297 & 31.2102 & 17.6381 & 31.2076 & 9.5942 & 10.3042 \\  & & \(\pm\) 23.5248 & \(\pm\) 29.8463 & \(\pm\) 27.1629 & \(\pm\) 15.0182 & \(\pm\) 27.6534 & \(\pm\) 7.5978 & \(\pm\) 4.1532 \\ \cline{1-1}  & 3D Pre-ResNet +VAE & 31.5542 & 35.5541 & 28.8105 & 17.5428 & 24.7579 & 8.7709 & 8.5721 \\ \cline{1-1}  & & \(\pm\) 18.2863 & \(\pm\) 25.8371 & \(\pm\) 21.4779 & \(\pm\) 11.3571 & \(\pm\) 23.8901 & \(\pm\) 6.3481 & \(\pm\) 2.7799 \\ \cline{1-1}  & 3D FM-Pre-ResNet & 29.8821 & 36.4528 & 25.7773 & 18.5789 & 26.8832 & 7.2027 & 11.2577 \\ \cline{1-1}  & & \(\pm\)14.5887 & \(\pm\) 27.3378 & \(\pm\) 19.8421 & \(\pm\) 9.2297 & \(\pm\) 25.7892 & \(\pm\) 3.5599 & \(\pm\) 6.7987 \\ \cline{1-1}  & **3D FM-PreFigure 8: Comparison of Wilcoxon rank sum test of each heart structure for different architectures on the MMWHS CT testing dataset.